Add revision of Steve Harvey and Callum Harvey of same chapters

Paulo Henrique Junqueira Amorim
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docs/user_guide_en_source/cap_img.tex
docs/user_guide_en_source/cap_import.tex
docs/user_guide_en_source/cap_instal.tex
docs/user_guide_en_source/cap_manip.tex
docs/user_guide_en_source/cap_masc.tex
docs/user_guide_en_source/cap_segmen.tex
 \chapter{Image adjustment}
-InVesalius does not guarantee the correct image order because sometimes these images have wrong information or do not follow the DICOM standard. Therefore, it is recommended to check if a lesion or an anatomical mark is on the correct side. If not, it is possible to use the flip image or swap axes tools. For image alignment, the rotation image tool can be used.
+InVesalius cannot guarantee the correct image order; images may contain incorrect information, or do not follow the DICOM standard. Therefore, it is recommended to check if a lesion or an anatomical mark is on the correct side. If not, it is possible to use the flip image or swap axes tools. For image alignment, the rotation image tool can be used.
-It is possible to mirror the image, making them flip. To perform that, it is necessary to click in menu, \textbf{Tools}, \textbf{Image}, \textbf{Flip} and click in one of the following options (figure~\ref{fig:menu_img_mirroring_axis_pt}):
+It is possible to mirror the image. To do so, select the \textbf{Tools} menu, click \textbf{Image}, then \textbf{Flip} and click on one of the following options (Figure~\ref{fig:menu_img_mirroring_axis_pt}):
 \begin{itemize}
 	\item Right - Left
@@ -18,7 +18,7 @@ It is possible to mirror the image, making them flip. To perform that, it is nec
 \end{figure}
-The figure~\ref{fig:mirrored} shows a comparative between the image without being flipped and the flipped image. Due to all image form the volume, if the flip is applied all other orientation are also modified.
+Figure~\ref{fig:mirrored} shows a comparison between the input image and the flipped image. All other orientations are also modified when the image is flipped.
 \begin{figure}[!htb]
   \centering
@@ -31,7 +31,7 @@ The figure~\ref{fig:mirrored} shows a comparative between the image without bein
 \section{Swap axes}
-The swap axes tool changes the image orientation, in the case that the image has been wrongly imported. To perform that, it is necessary to click in menu, \textbf{Tools}, \textbf{Image}, \textbf{Swap axes} and click in one of the following options (figure~\ref{fig:menu_invert_axis}):
+The swap axes tool changes the image orientation, in the case that the image has been wrongly imported. To perform this, select the \textbf{Tools} menu, click \textbf{Image}, then \textbf{Swap Axes} and click on one of the following options (Figure~\ref{fig:menu_invert_axis}):
 \begin{itemize}
 	\item From Right-Left to Anterior-Posterior
@@ -40,7 +40,7 @@ The swap axes tool changes the image orientation, in the case that the image has
 \end{itemize}
-The figures~\ref{fig:invert_axis_axial} e~\ref{fig:invert_axis_axial_inverted}, shows an example of images with inverted axis.
+The Figures~\ref{fig:invert_axis_axial} and~\ref{fig:invert_axis_axial_inverted}, shows an example of an image with inverted axes.
 \begin{figure}[!htb]
 \centering
@@ -65,7 +65,7 @@ The figures~\ref{fig:invert_axis_axial} e~\ref{fig:invert_axis_axial_inverted}, 
 \section{Reorient image (Rotate)}
-If it is necessary to align the image taking in account some reference point, e.g. anatomical marker, it is possible by using the reorient image tool. To open this tool it is necessary to click in menu, \textbf{Tools}, \textbf{Image} and \textbf{Reorient image} (figure~\ref{fig:menu_img_reorient}).
+If it is necessary to align the image with a certain point of reference, e.g. anatomical marker, use the reorient image tool. To open this tool select the \textbf{Tools} menu, click \textbf{Image}, then \textbf{Reorient Image} (Figure~\ref{fig:menu_img_reorient}).
 \begin{figure}[!htb]
 \centering
@@ -74,7 +74,8 @@ If it is necessary to align the image taking in account some reference point, e.
 \label{fig:menu_img_reorient}
 \end{figure}
-When this tool is activated a window is opened(figure~\ref{fig:image_reorient_window}) that shows which orientation and how much degrees the image was rotated.
+When this tool is activated a window is opened (Figure~\ref{fig:image_reorient_window}) showing orientation and by how many degrees the image was rotated.
+
 \begin{figure}[!htb]
 \centering
 \includegraphics[scale=0.4]{image_reorient_window_en.png}
@@ -82,7 +83,7 @@ When this tool is activated a window is opened(figure~\ref{fig:image_reorient_wi
 \label{fig:image_reorient_window}
 \end{figure}
-Initially, it is necessary to define the rotation point, to perfom that \textbf{keep the left mouse button pressed} between the two lines intersection (figure~\ref{fig:image_reorient_adjust_center}) at one orientation window, e.g. axial, coronal or sagittal, and drag to the desired point.
+To start reorienting the image, define the rotation point by keeping the \textbf{left} mouse button pressed between the two lines intersecting (Figure~\ref{fig:image_reorient_adjust_center}) at one orientation, e.g. axial, coronal or sagittal, and \textbf{drag} to the desired point.
 \begin{figure}[!htb]
 \centering
@@ -91,7 +92,7 @@ Initially, it is necessary to define the rotation point, to perfom that \textbf{
 \label{fig:image_reorient_adjust_center}
 \end{figure}
-To rotate the image it is necessary to \textbf{keep the left mouse button pressed} and \textbf{drag} until the reference point or anatomical marker stays align with one of the lines (figure~\ref{fig:image_reorient_rotated}). After the image is in the desired position, it is necessary to click the button \textbf{Apply}, in the parameter window (figure~\ref{fig:image_reorient_window}). This task can take some seconds, depends on the image size. The figure~\ref{fig:image_reorient_rotated_applied} shows an image with reorient done.
+To rotate the image it is necessary to keep the \textbf{left} mouse button pressed and \textbf{drag} until the reference point or anatomical marker stays aligned with one of the lines (Figure~\ref{fig:image_reorient_rotated}). After the image is in the desired position, click \textbf{Apply} in the parameter window (Figure~\ref{fig:image_reorient_window}). This may take a few moments depending on the image size. Figure~\ref{fig:image_reorient_rotated_applied} shows an image successfully reoriented.
 \begin{figure}[!htb]
 \centering
 \chapter{Image import}
-InVesalius imports files in DICOM format, including compressed files (lossless JPEG), Analyze (Mayo Clinic) $^\copyright$, NIfTI, PAR/REC, BMP, TIFF, JPEG and PNG formats.
+InVesalius imports files in DICOM format, including compressed files (lossless JPEG), Analyze (Mayo Clinic$^\copyright$), NIfTI, PAR/REC, BMP, TIFF, JPEG and PNG formats.
 \section{DICOM}
-On menu \textbf{File}, click on \textbf{Import DICOM...}. If you prefer, use the shortcut of keyboard \textbf{Ctrl + I}. Import DICOM images can also be triggered by the toolbar icon described in the figure~\ref{fig:import}.
+Under the File menu, click on Import DICOM or use the shortcut Ctrl+I. Additionally, DICOM files can be imported by clicking on the icon shown in Figure~\ref{fig:import}.
 \begin{figure}[!htb]
 \centering
@@ -15,11 +15,12 @@ On menu \textbf{File}, click on \textbf{Import DICOM...}. If you prefer, use the
 \hspace{.2cm}
-Then select the directory containing the DICOM files, as in figure~\ref{fig:win_folder}. InVesalius will search for files also in subdirectories of the chosen directory, if they exist.
+Select the directory containing the DICOM files, as in Figure~\ref{fig:win_folder}. InVesalius will search for files also in subdirectories of the chosen directory,
+if they exist.
 \newpage
-Click on \textbf{OK} button.
+Once the directory is selected, click \textbf{OK}.
 \begin{figure}[!htb]
 \centering
@@ -30,7 +31,7 @@ Click on \textbf{OK} button.
 \hspace{.2cm}
-While InVesalius search for DICOM files in the directory, the loading progress of the scanned files is displayed, as shown in the figure~\ref{fig:ver_file}.
+While InVesalius search for DICOM files in the directory, the loading progress of the scanned files is displayed, as shown in the Figure~\ref{fig:ver_file}.
 \begin{figure}[!htb]
 \centering
@@ -41,7 +42,7 @@ While InVesalius search for DICOM files in the directory, the loading progress o
 \newpage
-If DICOM files are found, a window open (figure~\ref{fig:win_import}) to select the patient and the respective series to be opened. It is also possible to skip images for reconstruction.
+If DICOM files are found, a window open (shown Figure~\ref{fig:win_import}) will open to select the patient and respective series to be opened. It is also possible to skip images for reconstruction.
 \begin{figure}[!htb]
 \centering
@@ -52,7 +53,7 @@ If DICOM files are found, a window open (figure~\ref{fig:win_import}) to select 
 \newpage
-If you want to import a series with all the images present, click "\textbf{+}" on the side patient's name to expand the series belonging to him. \textbf {Double-click} with left mouse button on the description of the series. See figure~\ref{fig:import_serie}.
+To import a series with all images present, click "\textbf{$+$}" on the patient’s name to expand the corresponding series. Double-click on the description of the series. See Figure~\ref{fig:import_serie}.
 \begin{figure}[!htb]
 \centering
@@ -60,8 +61,8 @@ If you want to import a series with all the images present, click &quot;\textbf{+}&quot; o
 \caption{Series selection}
 \label{fig:import_serie}
 \end{figure}
- 
-Some cases in particular when there is no computer with memory and/or satisfactory processing to work with many images in a series, can be it is recommended to skip (skip) some of them. To do this, click \textbf {once} with the \textbf{left} of the mouse over the description of the series (figure~\ref{fig:import_serie}) and select how many images will be skipped (figure~\ref{fig:skip_image}). Click on~\textbf {Import} button.
+
+In some cases, when there is no computer with memory and/or satisfactory processing to work with large numbers of images in a series, it is recommended to skip some of them. To do this, click \textbf{once} with the \textbf{left} mouse button over the description of the series (Figure~\ref{fig:import_serie}) and select how many images will be skipped (Figure~\ref{fig:skip_image}), then click \textbf{Import}.
 \begin{figure}[!htb]
 \centering
@@ -70,8 +71,8 @@ Some cases in particular when there is no computer with memory and/or satisfacto
 \label{fig:skip_image}
 \end{figure}
-If insufficient amount of available memory is detected at the time of loading the images it is recommended reduce the resolution of the slices to work with volumetric and surface visualization, as shown in the \ref{fig:resize_image} window.
-The slices will be resized according to the percentage relative to the original resolution. For example, if each slice of the exam contains the dimension of 512 x 512 pixels and the "Percentage of original resolution" is suggested to be 60 \%, each resulting image will be 307 x 307 pixels. If you want to open with the original resolution select the value 100.
+If there is an insufficient amount of available memory at the time of loading the images it is recommended that the resolution of the slices be reduced to work with volumetric and surface visualization, as shown in Figure~\ref{fig:resize_image}.
+The slices will be resized according to the percentage relative to the original resolution. For example, if each slice of the exam the dimension of 512 x 512 pixels and the "Percentage of original resolution" is suggested to be 60 \%, each resulting image will be 307 x 307 pixels. To open with the original pixel resolution, set the percentage to 100.
 \begin{figure}[!htb]
 \centering
@@ -80,7 +81,7 @@ The slices will be resized according to the percentage relative to the original 
 \label{fig:resize_image}
 \end{figure}
-If the image was obtained with the gantry tilted it will be necessary to do a correction to avoid deformations on the reconstruction. InVesalius allows the user do this correction. When importing an image with the gantry tilted it will be shown a dialog with the degree of tilt (figure~\ref{fig:gantry_tilt}). It is possible to change this value, but it is not recommended. Click on the \textbf{Ok} button to do the correction. If you click on the \textbf{cancel} button the correction will not be done.
+If the image was obtained with the gantry tilted it will be necessary to correct to avoid distortion of any reconstruction. InVesalius allows the user to do this easily. When importing an image with the gantry tilted a dialog will appear, showing the gantry tilt angle. (Figure~\ref{fig:gantry_tilt}). It is possible to change this value, but it is not recommended. Click on the \textbf{Ok} to do the correction. If you click on the \textbf{cancel} button the correction will not be done.
 \begin{figure}[!htb]
 \centering
@@ -89,7 +90,7 @@ If the image was obtained with the gantry tilted it will be necessary to do a co
 \label{fig:gantry_tilt}
 \end{figure}
-After the previous procedures, a window will be displayed (figure \ref{fig:prog_recons}) with progress reconstruction (when images are stacked and interpolated).
+After the above procedure, a window will be displayed (Figure \ref{fig:prog_recons}) with reconstruction (when images are stacked and interpolated).
 \begin{figure}[!htb]
 \centering
@@ -102,7 +103,7 @@ After the previous procedures, a window will be displayed (figure \ref{fig:prog_
 \section{Analyze}
-To import Analyze files, on menu \textbf{File}, click on \textbf{Importar other files...}, then click in the \textbf{Analyze} option as show the figure~\ref{fig:analyze_menu}.
+To import Analyze files, under the \textbf{File} menu, click \textbf{Import other files}, then click in the \textbf{Analyze} option as show the Figure~\ref{fig:analyze_menu}.
 \begin{figure}[!htb]
 \centering
@@ -111,7 +112,7 @@ To import Analyze files, on menu \textbf{File}, click on \textbf{Importar other 
 \label{fig:analyze_menu}
 \end{figure}
-Select the file of Analyze format, in extension \textbf{.hdr} and click on \textbf{Open} button (Figure \ref{fig:analyze_import}).
+Select the Analyze file format (\textbf{.hdr}) and click on \textbf{Open} (Figure~\ref{fig:analyze_import}).
 \begin{figure}[!htb]
 \centering
@@ -122,7 +123,7 @@ Select the file of Analyze format, in extension \textbf{.hdr} and click on \text
 \section{NIfTI}
-To import NIfTI files, on menu \textbf{File}, click on option \textbf{Import other files...} and then click on \textbf{NIfTI} option as shown figure~\ref{fig:import_nifti_menu_pt}.
+To import NIfTI files, under the \textbf{File}  menu, click \textbf{Import other files} and then click \textbf{NIfTI} as shown in Figure~\ref{fig:import_nifti_menu_pt}.
 \begin{figure}[!htb]
@@ -132,7 +133,7 @@ To import NIfTI files, on menu \textbf{File}, click on option \textbf{Import oth
 \label{fig:import_nifti_menu_pt}
 \end{figure}
-Select the file of type NIfTI, on \textbf{nii.gz} or \textbf{.nii} extension, click on \textbf{Open} (figure \ref{fig:import_nifti_window_pt}). If the file is in another extension as \textbf{.hdr}, select \textbf{all files(*.*)} option.
+Select the NIfTI file format, (either \textbf{nii.gz} or \textbf{.nii}) then click \textbf{Open} (Figure~\ref{fig:import_nifti_window_pt}). If the file is in another format as \textbf{.hdr}, select \textbf{all files(*.*)} option.
 \begin{figure}[!htb]
 \centering
@@ -143,7 +144,7 @@ Select the file of type NIfTI, on \textbf{nii.gz} or \textbf{.nii} extension, cl
 \section{PAR/REC}
-To import PAR/REC file, on main menu, click on \textbf{File}, \textbf{Import other files...} option and then click on \textbf{PAR/REC} as shown the figure \ref{fig:import_parrec_menu_pt}.
+To import PAR/REC file, under the \textbf{File} menu, click \textbf{Import other files}, and then click on \textbf{PAR/REC} as shown in Figure~\ref{fig:import_parrec_menu_pt}.
 \begin{figure}[!htb]
 \centering
@@ -152,7 +153,7 @@ To import PAR/REC file, on main menu, click on \textbf{File}, \textbf{Import oth
 \label{fig:import_parrec_menu_pt}
 \end{figure}
-Select PAR/REC file type, in extension \textbf{.par} and click on \textbf{Open} (figure~\ref{fig:import_parrec_window_pt}). If the file has no extension, select \textbf{all files(*.*)} option.
+Select PAR/REC file type, with the file extension \textbf{.par} and click \textbf{Open} (Figure~\ref{fig:import_parrec_window_pt}). If the file has no extension, select \textbf{all files(*.*)} option.
 \begin{figure}[!htb]
 \centering
@@ -163,7 +164,7 @@ Select PAR/REC file type, in extension \textbf{.par} and click on \textbf{Open} 
 \section{TIFF, JPG, BMP, JPEG or PNG (micro-CT)}
-TIFF, JPG, BMP, JPEG or PNG file format for reconstruction can be provided with microtomography equipment (micro-CT or $\mu$CT) or others. InVesalius imports files in these formats if pixels present are represented in \textbf{grayscale}.
+TIFF, JPG, BMP, JPEG or PNG file format for microtomography equipment (micro-CT or $\mu$CT) or others. InVesalius imports files in these formats if pixels present are represented in \textbf{grayscale}.
 To import, click on menu \textbf{File}, \textbf{Import other files...} and then click on \textbf{TIFF, JPG, BMP, JPEG ou PNG ($\mu$CT)} option as shown the figure~\ref{fig:import_bmp_menu_pt}.
@@ -174,9 +175,9 @@ To import, click on menu \textbf{File}, \textbf{Import other files...} and then 
 \label{fig:import_bmp_menu_pt}
 \end{figure}
-Select the directory that contains the files, as shown the figure~\ref{fig:import_bmp_select_folder}. InVesalius will search for files also in subdirectories of the chosen directory, if they exist. 
+Select the directory that contains the files, as shown the Figure~\ref{fig:import_bmp_select_folder}. InVesalius will search for files also in subdirectories of the chosen directory, if they exist. 
-Click on \textbf{OK} button.
+Click on \textbf{OK}.
 \begin{figure}[!htb]
 \centering
@@ -185,7 +186,7 @@ Click on \textbf{OK} button.
 \label{fig:import_bmp_select_folder}
 \end{figure}
-While InVesalius looking for TIFF, JPG, BMP, JPEG, or PNG files in the directory, the upload progress of the scanned files is displayed, as illustrated by the \ref{fig:import_bmp_load_pt} figure.
+While InVesalius is looking for TIFF, JPG, BMP, JPEG, or PNG files in the directory, the upload progress of the scanned files is displayed, as illustrated in Figure~\ref{fig:import_bmp_load_pt}.
 \begin{figure}[!htb]
 \centering
@@ -194,7 +195,7 @@ While InVesalius looking for TIFF, JPG, BMP, JPEG, or PNG files in the directory
 \label{fig:import_bmp_load_pt}
 \end{figure}
-If files of type TIFF, JPG, BMP, JPEG or PNG are founded, a window open (figure~\ref{fig:import_bmp_window_pt}) to display the founded files eligible for reconstruction. You can also skip images to rebuild or remove files from the rebuild list. The files are sorted according to the file name, it is recommended to use numbers in their names according to the order you want to get in the rebuild.
+If files in the desired formats are located, a window will open (shown in Figure~\ref{fig:import_bmp_window_pt}) to display the files eligible for reconstruction. Images can also be skipped to remove files from the rebuild list. The files are sorted according to file names. It is recommended that the files are numbered according to the desired rebuild order.
 \begin{figure}[!htb]
 \centering
@@ -203,9 +204,10 @@ If files of type TIFF, JPG, BMP, JPEG or PNG are founded, a window open (figure~
 \label{fig:import_bmp_window_pt}
 \end{figure}
-To delete files that are not of interest, you can select a file by clicking the \textbf{left mouse button} and then pressing the \textbf{delete} key. You can also choose a range of files to delete, so you need to click the \textbf{left mouse button} on the first file in the track, hold down the \textbf{shift} key, click again with the \textbf{button Left mouse button} in the last file of the track and finally press the \textbf{delete} button.
- 
-Like importing DICOM files module, you can skip BMP images for rebuilding. In some cases, particularly where a computer with satisfactory memory and/or processing is not available to work with many images in a series, it may be advisable to skip (skip) some of them. To do this, select how many images to skip (figure~\ref{fig:import_bmp_skip_pt}). Click \textbf{Import} button.
+To delete files that are not of interest, select a file by clicking the left mouse button and then pressing the delete key. You can also choose a
+range of files to delete by clicking the \textbf{left mouse button} on a file, holding down the \textbf{shift} key, clicking again with the mouse button in the last file of the track and finally pressing the \textbf{delete} button.
+
+Similar to when importing DICOM files, you can skip BMP images for re-building. In some cases, particularly where a computer with satisfactory memory and/or processing is unavailable, it may be advisable to skip some of them to retain adequate program functionality. To do this, select how many images to skip (Figure~\ref{fig:import_bmp_skip_pt}), then click \textbf{Import}.
 \begin{figure}[!htb]
 \centering
@@ -214,22 +216,22 @@ Like importing DICOM files module, you can skip BMP images for rebuilding. In so
 \label{fig:import_bmp_skip_pt}
 \end{figure}
-To reconstruct this file type, it is necessary to define a name for the project, to indicate the orientation of the images (axial, coronal or sagittal), voxel spacing ($X$, $Y$ and $Z$) in \textbf{mm} as shown in the figure~\ref{fig:import_bmp_spacing_pt}. The voxel spacing in $X$ is the pixel width of each image, $Y$ the pixel length, and $Z$ represents the distance of each slice (voxel height).
+To reconstruct files of this type, a project name must be defined to indicate the orientation of the images (axial, coronal or sagittal), voxel spacing ($X$, $Y$ and $Z$) in \textbf{mm} as shown in the Figure~\ref{fig:import_bmp_spacing_pt}. The voxel spacing in $X$ is the pixel width of each image, $Y$ the pixel length, and $Z$ represents the distance of each slice (voxel height).
-If the image set consists of microtomography images, more specifically GE and Brucker equipment, it is possible that InVesalius will read the text file with the acquisition parameters that normally stay in the same folder as the images and automatically insert the spacing . This verification can be done when the values of $X$, $Y$ and $Z$ are different from "1.00000000", otherwise it is necessary to enter the values of the respective spacing.
+If the image set consists of microtomography images, more specifically GE and Brucker equipment, it is possible that InVesalius will read the text file with the acquisition parameters that normally stay in the same folder as the images and automatically insert the spacing. This verification can be done when the values of $X$, $Y$ and $Z$ are different from "1.00000000", otherwise it is necessary to enter the values of the respective spacing.
-\textbf{Attention, the spacing is a paramount parameter for the correct dimension of the objects in the software. Incorrect spacing will provide incorrect measurements.}
+\textbf{Correct spacing is crucial for correctly importing objects in InVesalius. Incorrect spacing will provide incorrect measurements.}
-Once you have completed all the parameters, just click the \textbf{Ok} button.
+Once all parameters have been input, click \textbf{OK}.
 \begin{figure}[!htb]
 \centering
 \includegraphics[scale=0.5]{import_bmp_spacing_en.png}
-\caption{Tela de importação}
+\caption{Import Screen}
 \label{fig:import_bmp_spacing_pt}
 \end{figure}
-If insufficient memory is available when loading images, it is recommended to reduce the resolution of the slices to work with volumetric and surface visualization, as shown in the \ref{fig:import_bmp_resize_pt} window. The slices will be resized according to the percentage relative to the original resolution. For example, if each slice of the exam contains the dimension of 512 x 512 pixels and the "Percentage of the original resolution" is suggested at 60\%, each resulting image will have 307 x 307 pixels. If you want to open with the original resolution select the value 100.
+If insufficient memory is available when loading images, it is recommended to reduce the resolution of the slices to work with volumetric and surface visualization, as shown in Figure~\ref{fig:import_bmp_resize_pt} window.The slices will be resized according to the percentage relative to the original resolution. For example, if each slice of the exam contains the dimension of $512 x 512$ pixels and the "Percentage of the original resolution" is suggested at 60, each resulting image will have $307 x 307$ pixels. If you want to open with the original resolution set the percentage to $100$.
 \begin{figure}[!htb]
 \centering
@@ -238,9 +240,7 @@ If insufficient memory is available when loading images, it is recommended to re
 \label{fig:import_bmp_resize_pt}
 \end{figure}
-%Após os passos anteriores é necessário aguardar um instante para completar a reconstrução multiplanar conforme mostra a figura~\ref{fig:import_bmp_mpr_pt.png}.
-
-After the previous steps it is necessary to wait a moment to complete the multiplanar reconstruction as shown in the figure~\ref{fig:import_bmp_mpr_pt.png}.
+After the previous steps, wait a moment for the program to complete the multiplanar reconstruction as shown in Figure~\ref{fig:import_bmp_mpr_pt.png}.
 \begin{figure}[!htb]
 \centering
@@ -12,7 +12,7 @@ To install InVesalius on MS-Windows, simply run the installer program. When a wi
 \newpage
-A new window will ask you to select the language of the installer. Select the language and click \textbf{OK} button.
+A new window will ask you to select the language of the installer. Select the language and click \textbf{OK}.
 \begin{figure}[!htb]
 \centering
@@ -21,8 +21,7 @@ A new window will ask you to select the language of the installer. Select the la
 \hspace{.2cm}
-Window installer appears. Click \textbf{Next}.
-
+The Setup installer will appear. Click \textbf{Next}.
 \begin{figure}[!htb]
 \centering
@@ -40,7 +39,7 @@ Select \textbf{I accept the agreement} and click on \textbf{Next} button.
 \hspace{.2cm}
-Click on \textbf{Next} button again. 
+Select the preferred destination for the InVesalius program files, then click \textbf{Next}.
 \begin{figure}[!htb]  
 \centering
@@ -75,7 +74,7 @@ Click on \textbf{Install} button.
 \hspace{.2cm}
-While the software is installed, a progress window will appear.
+While the software is being installed, a progress window will appear.
 \begin{figure}[!htb]
 \centering
@@ -93,7 +92,7 @@ To run InVesalius after installation, check \textbf{Lauch InVesalius 3.1} and cl
 \hspace{.2cm}
-If this is the first time the software is installed, a window will appear to select the InVesalius language. Select the language you want and click on \textbf{OK} button.
+When being run for the first time, a window will appear to select the InVesalius language. Select the desired language and click \textbf{OK}.
 \begin{figure}[!htb]
 \centering
@@ -102,7 +101,7 @@ If this is the first time the software is installed, a window will appear to sel
 \newpage
-While InVesalius is loaded, an opening window like the one in the next figure is displayed.
+While InVesalius is loading, the opening window shown below will be displayed.
 \begin{figure}[!htb]
 \centering
@@ -111,7 +110,7 @@ While InVesalius is loaded, an opening window like the one in the next figure is
 \hspace{.2cm}
-Then, the main program window open.
+The main program window will then open, as shown below.
 \begin{figure}[!htb]
 \centering
@@ -120,15 +119,14 @@ Then, the main program window open.
 \section{Mac Os X}
-To start the installation on Mac Os X, double-click the installer with the left mouse button.
-Then the installer will be initialized.
+To start the installation on Mac OS X, double-click the installer with the left mouse button to begin installation.
 \begin{figure}[!htb]
 \centering
 \includegraphics[scale=0.3]{mac2.png}
 \end{figure}
-Hold down the left button on the InVesalius software icon and drag it to the \textit{Applications}. Both contained in the installer.
+Hold down the left button on the InVesalius software icon and drag it to the Applications folder. Both are contained in the installer.
 \begin{figure}[!htb]
 \centering
@@ -2,9 +2,7 @@
 \section{Multiplanar Reconstruction}
-When images are imported, InVesalius automatically shows its reconstruction
-Multiplanar in the Axial, Sagittal and Coronal orientations, as well as a window for 3D manipulation.
-See figure \ref{fig:mpr}.
+When images are imported, InVesalius automatically shows its multiplanar reconstruction in the Axial, Sagittal and Coronal orientations, as well as a window for 3D manipulation, as seen in Figure~\ref{fig:mpr}.
 \begin{figure}[!htb]
 \centering
@@ -15,13 +13,9 @@ See figure \ref{fig:mpr}.
 \newpage
-In addition to creating a multiplanar reconstruction, InVesalius segments an image, highlighting, for example, soft tissue bones. The highlight is represented by the application of colors on a segmented structure, i.e., the colors forms a mask over an image highlighting the structure (figure \ref{fig:mpr}). This is discussed in more detail in the following chapters.
+In addition to creating a multiplanar reconstruction, InVesalius segments an image, highlighting for example soft tissue bones. The highlight is represented by the application of colors on a segmented structure so that the colors form a mask over an image highlighting the structure (Figure~\ref{fig:mpr}).This is discussed in more detail in the following chapters.
-
-To hide the mask, use the data manager, located in the lower left corner
-of the screen. Just choose the tab \textbf{Masks} and click \textbf{once} using the
-\textbf{left} mouse buttom over the eye icon next to \textbf{"Mask 1"}. See figure
-\ref{fig:ger_masc}.
+To hide the mask, use the data manager, located in the lower left corner of the screen. Select the \textbf{Masks} tab and click once using the \textbf{left} mouse button over the eye icon next to \textbf{"Mask 1"}, as shown in Figure~\ref{fig:ger_masc}.
 \begin{figure}[!htb]
 \centering
@@ -30,8 +24,7 @@ of the screen. Just choose the tab \textbf{Masks} and click \textbf{once} using 
 \label{fig:ger_masc}
 \end{figure}
-The eye icon disappears, and the colors of the segmentation mask are hidden (figure
-\ref{fig:mpr_sem_mask}).
+The eye icon disappears, and the colors of the segmentation mask are hidden (Figure~\ref{fig:mpr_sem_mask}).
 \begin{figure}[!htb]
 \centering
@@ -42,8 +35,8 @@ The eye icon disappears, and the colors of the segmentation mask are hidden (fig
 \subsection{Axial orientation}
-The axial orientation consists of cuts made transversal in relation to the region of interest, i.e. parallel cuts to the axial plane of the human body.
-In figure \ref{fig:axial_corte}, an axial image of the skull region is displayed.
+The axial orientation consists of cuts made transversally to the region of interest, i.e. parallel cuts to the axial plane of the human body.
+In Figure~\ref{fig:axial_corte}, an axial image of the skull region is displayed.
 \begin{figure}[!htb]
 \centering
@@ -55,7 +48,7 @@ In figure \ref{fig:axial_corte}, an axial image of the skull region is displayed
 \subsection{Sagittal orientation}
 The sagittal orientation consists of cuts made laterally in relation to the region of interest, i.e. parallel cuts to the sagittal plane of the human body, which divides it into the left and right portions.
-In figure \ref{fig:sagital_slice}, a sagittal skull image is displayed.
+In Figure~\ref{fig:sagital_slice}, a sagittal skull image is displayed.
 \begin{figure}[!htb]
 \centering
@@ -69,7 +62,7 @@ In figure \ref{fig:sagital_slice}, a sagittal skull image is displayed.
 \subsection{Coronal orientation}
 The coronal orientation is composed of cuts parallel to the coronal plane, which divides the human body into ventral and dorsal halves.
-In figure \ref{fig:coronal_slice} is displayed  a skull image in coronal orientation.
+In Figure~\ref{fig:coronal_slice} is displayed a skull image in coronal orientation.
 \begin{figure}[!htb]
 \centering
@@ -82,8 +75,7 @@ In figure \ref{fig:coronal_slice} is displayed  a skull image in coronal orienta
 \section{Correspondence between the axial, sagittal and coronal orientations}
 \label{sec:corresp_all_orient}
-To find out the common point of the images in differents orientations, simply activate the "Slices cross intersection" feature with the shortcut icon located on the toolbar.
-See figure \ref{fig:cross_icon}.
+To find out the common point of intersection of the images in differents orientations, simply activate the "Slices cross intersection" feature with the shortcut icon located on the toolbar. See Figure~\ref{fig:cross_icon}.
 \begin{figure}[!htb]
 \centering
@@ -92,12 +84,11 @@ See figure \ref{fig:cross_icon}.
 \label{fig:cross_icon}
 \end{figure}
-When the feature is fired, two cross segments that intersect perpendicularly are displayed on each image (figure \ref{fig:cross_all}). The intersection point of each pair of segments represents the common point between differents orientations.
+When the feature is activated, two cross-sections that intersect perpendicularly are displayed on each image (Figure~\ref{fig:cross_all}). The intersection point of each pair of segments represents the common point between differents orientations.
 \newpage
-To modify the point, keep \textbf{pressed} the \textbf{left} mouse button and
-\textbf{drag}. Automatically, the corresponding points will be updated in each image.
+To modify the point, hold down the \textbf{left} mouse button and \textbf{drag}. Automatically, the corresponding points will be updated in each image.
 \begin{figure}[!htb]
 \centering
@@ -106,13 +97,13 @@ To modify the point, keep \textbf{pressed} the \textbf{left} mouse button and
 \label{fig:cross_all}
 \end{figure}
-To disable the feature, simply click on the shortcut again (figure \ref{fig:cross_icon}). This feature can be used in conjunction with the slice editor (which will be discussed later).
+To deactivate the feature, simply click on the shortcut again (Figure~\ref{fig:cross_icon}). This feature can be used in conjunction with the slice editor (which will be discussed later).
 \section{Interpolation}
-By default the 2D images visualization are interpolated (figure~\ref{fig:interp}).a, to deactivate this feature, in menu press \textbf{View}, \textbf{Interpolated slices} (figure~\ref{fig:menu_interpoleted_image_pt}). In this way it will be possible to visualize each pixel individually as shown in the figure~\ref{fig:interp}.b.
+By default the 2D images visualization are interpolated (Figure~\ref{fig:interp}).a). To deactivate this feature, select the \textbf{View} menu and select \textbf{Interpolated slices} (Figure~\ref{fig:menu_interpoleted_image_pt}). It will then be possible to visualize each pixel individually as shown in Figure~\ref{fig:interp}.b.
-\textbf{Note: This interpolation is for visualization purposes only, not directly influencing segmentation or 3D surface generation.}
+\textbf{This interpolation is for visualization purposes only, and does not directly influence segmentation or 3D surface generation.}
 \begin{figure}[!htb]
 \centering
@@ -133,8 +124,7 @@ By default the 2D images visualization are interpolated (figure~\ref{fig:interp}
 \section{Move}
-To move an image on the screen, the toolbar's "Move" shortcut icon can be used (figure
-\ref{fig:move_icon}). Click on the icon to activate the feature and then with the \textbf{left} mouse button on the image, \textbf{drag} it to the desired direction. The figure \ref{fig:move_img} shows a displaced (moved) image.
+To move an image on the screen, use the Move shortcut icon on the toolbar (Figure~\ref{fig:move_icon}). Click on the icon to activate, then with the \textbf{left} mouse button on the image, \text{drag} it to the desired direction. Figure~\ref{fig:move_img} shows a displaced (moved) image.
 \begin{figure}[!htb]
 \centering
@@ -152,7 +142,7 @@ To move an image on the screen, the toolbar&#39;s &quot;Move&quot; shortcut icon can be used (
 \section{Rotate}
-The image rotation can be activated by the toolbar's "Rotate" shortcut icon (figure \ref{fig:rot_icon}). To rotate an image, click on the icon and then with the \textbf{left} mouse button press on the image, \textbf{drag} clockwise or anticlockwise, depending on the desired direction of rotation.
+Images can be rotated by using the Rorate shortcut on the toolbar (Figure~\ref{fig:rot_icon}). To rotate an image, click on the icon and then with the \textbf{left} mouse button \textbf{drag} clockwise or anticlockwise as required.
 \begin{figure}[!htb]
 \centering
@@ -171,11 +161,11 @@ The image rotation can be activated by the toolbar&#39;s &quot;Rotate&quot; shortcut icon (fig
 \section{Zoom}
-In InVesalius, there are different ways to enlarge an image. You can maximize the desired orientation window, apply zoom directly to the image, or select the region of the image to enlarge.
+In InVesalius, there are different ways to enlarge an image. You can maximize the desired orientation window, apply zoom directly to the image, or select the region of the image to enlarge. Each of these methods are detailed below.
 \subsection{Maximizing orientation windows}
-As we already know, the main InVesalius window is divided into 4 subwindows: axial, sagittal, coronal and 3D. Each of these can be maximized to occupy the entire area of the main window. To do this, simply \textbf{left} mouse click on the subwindow icon located in the \textbf{upper right corner} (figure \ref{fig:maximize_window}). To restore a maximized window to its previous size, simply click the icon again.
+The main InVesalius window is divided into 4 sub-windows: axial, sagittal, coronal and 3D. Each of these can be maximized to occupy the entire area of the main window. To do this, simply \textbf{left} mouse click on the subwindow icon located in the \textbf{upper right corner} (Figure~\ref{fig:maximize_window}). To restore a maximized window to its previous size, simply click the icon again.
 \begin{figure}[!htb]
 \centering
@@ -184,9 +174,9 @@ As we already know, the main InVesalius window is divided into 4 subwindows: axi
 \label{fig:maximize_window}
 \end{figure}
-\subsection{Enlarging or reducing an image}
+\subsection{Enlarging or shrinking an image}
-To enlarging or reducing an image, click on the zoom shortcut icon in the toolbar (figure \ref{fig:zoom_icon}). Hold down the \textbf{left} mouse button on the image and \textbf{drag} the mouse to \textbf{top} if you want to enlarge it, or \textbf{down}, if you want to reduce it.
+To enlarge or shrink an image, click on the zoom shortcut icon in the toolbar (Figure~\ref{fig:zoom_icon}). Hold down the \textbf{left} mouse button on the image and \textbf{drag} the mouse \textbf{up} to enlarge or \textbf{down} to shrink.
 \begin{figure}[!htb]
 \centering
@@ -195,16 +185,9 @@ To enlarging or reducing an image, click on the zoom shortcut icon in the toolba
 \label{fig:zoom_icon}
 \end{figure}
-%\begin{figure}[!htb]
-%\centering
-%\includegraphics[scale=0.2]{ScreenHunter_76Dec311201_.jpg}
-%\caption{Imagem com \textit{Zoom} aplicado}
-%\label{fig:zoom_}
-%\end{figure}
-
-\subsection{Enlarging an Image Area}
+\subsection{Enlarging an image area}
-To enlarging a certain image area, click on the "Zoom based on selection" icon in the toolbar (figure \ref{fig:zoom_icon_loc}). Position the mouse pointer at the start position of the selection, click and hold the \textbf{left} mouse button and \textbf{drag} it to the end selection position, forming a rectangle (figure \ref{fig:zoom_select}). Once the left mouse button is released, the zoom operation will be applied to the selected region (figure \ref{fig:zoom_applied}).
+To enlarging a certain image area, click on the "Zoom based on selection" icon in the toolbar (Figure~\ref{fig:zoom_icon_loc}). Position the mouse pointer at the origin point of the selection, click and hold the \textbf{left} mouse button and \textbf{drag} it to the end selection point to form a rectangle (Figure~\ref{fig:zoom_select}). Once the left mouse button is released, the zoom operation will be applied to the selected region (Figure~\ref{fig:zoom_applied}).
 \begin{figure}[!htb]
 \centering
@@ -231,9 +214,9 @@ To enlarging a certain image area, click on the &quot;Zoom based on selection&quot; icon i
 \section{Brightness and contrast (Windows)}
 \label{sec:ww_wl}
-To improve images visualization, the feature \textit{window width} and \textit{window level} can be used, popularly known as "brightness and contrast" or "window" (for radiologists). With this feature, it is possible to set the range of the gray scale (\textit{window level}) and the width of the scale (\textit{window width}) to be used to display the images.
+To improve image visualization, the \textit{window width} and \textit{window level} features can be used; these are more commonly known as \textit{brightness and contrast} or \textit{window} (for radiologists). With this feature, it is possible to set the range of the gray scale (\textit{window level}) and the width of the scale (\textit{window width}) to be used to display the images.
-The feature can be triggered by the "Contrast" shortcut icon in the toolbar. See figure \ref{fig:window_level_shortcut}.
+The feature can be activated by the "Brightness and Contrast" shortcut icon in the toolbar. See Figure~\ref{fig:window_level_shortcut}.
 \begin{figure}[!htb]
 \centering
@@ -242,11 +225,11 @@ The feature can be triggered by the &quot;Contrast&quot; shortcut icon in the toolbar. See
 \label{fig:window_level_shortcut}
 \end{figure}
-To increase the brightness, hold down the \textbf{left} mouse button and \textbf{drag} horizontally to the right. To decrease the brightness, simply drag the mouse to the left. The contrast can be changed by dragging the mouse (with the \textbf{left} button pressed) vertically: up to increase, or down to decrease the contrast.
+To increase the brightness, hold down the \textbf{left} mouse button and \textbf{drag} horizontally to the right. To decrease the brightness, simply drag the mouse to the left. The contrast can be changed by dragging the mouse (with the \textbf{left} button pressed) vertically: up to increase, or down to decrease contrast.
-To disable the feature, click again on the shortcut icon (figure \ref{fig:window_level_shortcut}).
+To deactivate the feature, click again on the shortcut icon (Figure~\ref{fig:window_level_shortcut}).
-You can use preset brightness and contrast patterns. The table \ref{tab:window_level} lists some tissues types with their respective brightness and contrast values for the image. To use the presets patterns, position the mouse cursor over the image and \textbf{right-click} to open a context menu on it. When the menu opens, select \textbf{Window width and level}, and then click on the preset option, according to the tissue type, as shown in the figure \ref{fig:window_level}.
+Preset brightness and contrast patterns may be used with InVesalius. Table~\ref{tab:window_level} lists some tissue types with their respective brightness and contrast values. To use the presets, position the mouse cursor over an image and \textbf{right-click} to open a context menu, then select \textbf{Window width and level}, and click on the preset option according to the tissue type, as shown in Figure~\ref{fig:window_level}.
 \begin{figure}[!htb]
 \centering
@@ -297,9 +280,9 @@ Vasculature - Soft &amp; 680 &amp; 160\\
 \section{Pseudo color}
-Another feature to improve the visualization of the images is the pseudo color. They replace gray levels by color, or by inverted gray levels. In the latter case, previously clear regions of the image become darker and vice versa.
+Another feature to improve the visualization of the images is the pseudo color. This replaces gray levels by color, or by inverted gray levels. In the latter case, previously clear regions of the image become darker and vice versa.
-To change the view using a pseudo color, position the mouse cursor over the image and \textbf{right-click} to open a context menu on it. When the menu opens, select the entry \textbf{Pseudo color}, and then click on the desired pseudo color option, as shown in the figure \ref{fig:pseudo_color}.
+To change the view using a pseudo color, position the mouse cursor over the image and \textbf{right-click} to open a context menu on it. When the menu opens, select the entry \textbf{Pseudo color}, and then click on the desired pseudo color option, as shown in Figure~\ref{fig:pseudo_color}.
 \begin{figure}[p]
 \centering
@@ -308,7 +291,7 @@ To change the view using a pseudo color, position the mouse cursor over the imag
 \label{fig:pseudo_color}
 \end{figure}
-Figures \ref{fig:image_default} through \ref{fig:image_saturation} exemplify the various pseudo color options available.
+Figures~\ref{fig:image_default}a-g demonstrate the various pseudo color options available.
 \begin{figure}[h]
   \centering
@@ -326,7 +309,7 @@ Figures \ref{fig:image_default} through \ref{fig:image_saturation} exemplify the
 \newpage
 \section{Projection type}
-It is possible to change the projection type of the 2D images, in addition to the normal mode, InVesalius has six types of projections that can be accessed as follows: Place the mouse over the image and \textbf{rigth-click} to open a context menu on it. When the menu opens, select the projection type option, and then click on the desired projection option, as shown in the figure ~\ref{fig:menu_proj}.
+It is possible to change the projection type of the 2D images, in addition to the normal mode, InVesalius has six types of projections that can be accessed as follows: Place the mouse over the image and \textbf{rigth-click} to open a context menu on it. When the menu opens, select the projection type option, and then click on the desired projection option, as shown in the Figure~\ref{fig:menu_proj}.
 \begin{figure}[!h]
 \centering
@@ -337,7 +320,7 @@ It is possible to change the projection type of the 2D images, in addition to th
 \subsection{Normal}
-Normal mode is the default view, i.e. without any type of projection, originally when the image was acquired or customized previously with either brightness and contrast or pseudo color. As shown in figure ~\ref{fig:proj_normal}.
+Normal mode is the default view, showing the unmodified image as it was when acquired or customized previously with either brightness and contrast or pseudo color. Normal mode is shown below in Figure~\ref{fig:proj_normal}.
 \begin{figure}[!h]
 \centering
@@ -348,7 +331,8 @@ Normal mode is the default view, i.e. without any type of projection, originally
 \subsection{MaxIP}
 \label{sec:max_ip}
-MaxIP is also known as MIP (\textit{Maximum Intensity Projection}), the method selects only voxels that have maximum intensity among the visited ones as shown in figure ~\ref{fig:proj_maxip}. According to the amount or "depth" of MaxIP each voxel is visited in order of overlap, for example, to select MaxIP of the pixel $(0,0)$ consisting of 3 slices it is necessary to visit the pixel $(0,0)$ of slices $(1,2,3)$ and select the highest value.
+
+MaxIP is also known as MIP (\textit{Maximum Intensity Projection}). MaxIP selects only voxels that have maximum intensity among those visited as shown in Figure~\ref{fig:proj_maxip}. According to the amount of, or "depth" of MaxIP, each voxel is visited in order of overlap, for example, to select MaxIP of the pixel $(0, 0)$ consisting of 3 slices it is necessary to visit pixel $(0, 0)$ of slices $(1, 2, 3)$ and select the highest value.
 \begin{figure}[!h]
 \centering
@@ -357,7 +341,7 @@ MaxIP is also known as MIP (\textit{Maximum Intensity Projection}), the method s
 \label{fig:proj_maxip}
 \end{figure}
-As shown in the figure~\ref{fig:proj_maxip_qtd}, the number of images that will be composed of MaxIP is set at the bottom of each orientation image.
+As shown in Figure~\ref{fig:proj_maxip_qtd}, the number of MaxIP images is set at the bottom of each orientation image.
 \begin{figure}[!h]
 \centering
@@ -368,7 +352,7 @@ As shown in the figure~\ref{fig:proj_maxip_qtd}, the number of images that will 
 \subsection{MinIP}
-Unlike MaxIP, MinIP (\textit{Minimun Intensity Projection}) selects only the voxels that have minimal internsity among the visited ones, an example is shown in figure~\ref{fig:proj_minIP}. The image number selection that will compose the projection is made at the bottom of each orientation image as shown in figure~\ref{fig:proj_maxip_qtd}.
+Unlike MaxIP, MinIP (\textit{Minimun Intensity Projection}) selects only the voxels that have minimal intensity among those visited, as shown in Figure~\ref{fig:proj_minIP}. The image number selection comprising the projection is made at the bottom of each orientation image as shown in Figure~\ref{fig:proj_maxip_qtd}.
 \begin{figure}[!h]
 \centering
@@ -378,7 +362,7 @@ Unlike MaxIP, MinIP (\textit{Minimun Intensity Projection}) selects only the vox
 \end{figure}
 \subsection{MeanIP}
-The MeanIP (\textit{Mean Intensity Projection}) technique which is shown in the figure~\ref{fig:proj_meanIP} composes the projection by averaging the voxels visited. The voxels are visited in the same way as the MaxIP and MinIP methods. It is also possible to define how many images will compose the projection at the bottom of the image of each orientation as shown in the figure~\ref{fig:proj_maxip_qtd}.
+The MeanIP (\textit{Mean Intensity Projection}) technique which is shown in the Figure~\ref{fig:proj_meanIP} composes the projection by averaging voxels visited in the same way as the MaxIP and MinIP methods. It is also possible to define how many images will compose the projection at the bottom of the image of each orientation as shown in Figure~\ref{fig:proj_maxip_qtd}.
 \begin{figure}[!h]
 \centering
@@ -389,7 +373,7 @@ The MeanIP (\textit{Mean Intensity Projection}) technique which is shown in the 
 \subsection{MIDA}
 \label{sub:mida}
-The MIDA (\textit{Maximum Intensity Difference Accumulation}) technique projects an image taking into account only voxels that have local maximum values. From each pixel a ray is simulated towards the volume, each voxel is intercepted by each of these rays reaching the end of the volume, each of these voxels visited has its accumulated value, but are taken into account only if the value is greater than previously visited values. Like MaxIP, you can select how many images are used to accumulate the values. The figure ~\ref{fig:proj_MIDA} shows an example of MIDA projection.
+The MIDA (\textit{Maximum Intensity Difference Accumulation}) technique projects an image taking into account only voxels that have local maximum values. From each pixel a ray is simulated towards the volume, with each voxel being intercepted by each ray reaching the end of the volume. Each of the voxels visited has its accumulated value, but are taken into account only if the value is greater than previously visited values. Like MaxIP, one can select how many images are used to accumulate the values. Figure~\ref{fig:proj_MIDA} shows an example of MIDA projection.
 \begin{figure}[!h]
 \centering
@@ -398,7 +382,7 @@ The MIDA (\textit{Maximum Intensity Difference Accumulation}) technique projects
 \label{fig:proj_MIDA}
 \end{figure}
-As the figure ~\ref{fig:proj_MIDA_inv} shows, it is possible to invert the order that the voxels are visited by selecting the option \textbf{Inverted order} in the lower corner of the screen.
+As Figure~\ref{fig:proj_MIDA_inv} shows, it is possible to invert the order that the voxels are visited by selecting the \textbf{Inverted order} option in the lower corner of the screen.
 \begin{figure}[!h]
 \centering
@@ -409,7 +393,7 @@ As the figure ~\ref{fig:proj_MIDA_inv} shows, it is possible to invert the order
 \subsection{Contour MaxIP}
-The technique consists in visualizing contours present in the projection generated with MaxIP technique(\ref{sec:max_ip}). An example is presented in the figure~\ref{fig:proj_contorno_maxip}.
+The Contour MaxIP function consists of visualizing contours present in the projection generated with MaxIP technique(\ref{sec:max_ip}). An example is presented in Figure~\ref{fig:proj_contorno_maxip}.
 \begin{figure}[!h]
 \centering
@@ -420,7 +404,7 @@ The technique consists in visualizing contours present in the projection generat
 \subsection{Contour MIDA}
-The technique consists in visualizing contours present in the projection generated with the MIDA technique(\ref{sub:mida}). Like MIDA, you can reverse the order that the volume is visited. We exemplify in the figure~\ref{fig:proj_contorno_mida}.
+The Contour MIDA function consists of visualizing contours present in the projection generated with the MIDA technique(\ref{sub:mida}). Like MIDA, you can reverse the order that the volume is visited, as shown in Figure~\ref{fig:proj_contorno_mida}.
 \begin{figure}[!h]
 \centering
@@ -3,14 +3,17 @@
 \section{Boolean operations}
-After segmenting it's possible to perform some boolean operations between masks. The boolean operations supported by InVesalius are:\\
-\\
-\textbf{Union}, perform union between two masks;\\
-\textbf{Difference}, perform difference from the first mask to the second one;\\
-\textbf{Intersection}, keeps what is common in both masks.\\
-\textbf{Exclusive disjunction}, also known as XOR, keeps the regions of the first mask wich are not in the second mask and regions from the second mask which are no in the first mask.\\
+After segmenting, some boolean operations can be performed between masks. The boolean operations supported by InVesalius are:\\
+
+\begin{itemize}
+	\item \textbf{Union}, perform union between two masks;
+	\item \textbf{Difference}, perform difference from the first mask to the second one;\\
+	\item \textbf{Intersection}, keeps what is common in both masks.\\
+	\item \textbf{Exclusive disjunction (XOR)}: keeps the regions of the first mask which are not in the second mask and regions from the second mask which are no in the first mask.
+\end{itemize}
+
+To use this tool go to the \textbf{Tools}, menu, select \textbf{Mask}, and then Boolean operations as shown in Figure~\ref{fig:booleano_menu}. Select the first mask, the operation to be performed and the second mask as shown in Figure~\ref{fig:booleano_janela} then click \textbf{OK}.
-To use this tool go to menu \textbf{Tools}, \textbf{Mask}, \textbf{Boolean operations} as shown in the figure~\ref{fig:booleano_menu}.
 \begin{figure}[!htb]
 \centering
@@ -19,7 +22,6 @@ To use this tool go to menu \textbf{Tools}, \textbf{Mask}, \textbf{Boolean opera
 \label{fig:booleano_menu}
 \end{figure}
-It's necessary to select the select the first mask, the operation to be performed and the second mask as shown in the figure~\ref{fig:booleano_janela}. Then click on the \textbf{Ok} button.
 \begin{figure}[!htb]
 \centering
@@ -28,7 +30,7 @@ It&#39;s necessary to select the select the first mask, the operation to be performe
 \label{fig:booleano_janela}
 \end{figure}
-The figure~\ref{fig:op_boolana} shows some examples of utilization of boolean operations tool.
+Figure~\ref{fig:op_boolana} shows some examples of utilization of boolean operations tool.
 \begin{figure}[!htb]
   \centering
@@ -50,7 +52,7 @@ The figure~\ref{fig:op_boolana} shows some examples of utilization of boolean op
 \section{Mask cleaning}
 \label{cap:limpeza_mascara}
-It's possible to clean a mask (figure~\ref{fig:limpeza_mascara}). This is recommended before starting to insert Watershed markers. This tool is located on menu \textbf{Tools}, \textbf{Mask}, \textbf{Clean mask}. Also, it possible to use keyboard shortcut \textbf{CTRL+SHIFT+A}.
+A mask can be cleaned, as shown in Figure~\ref{fig:limpeza_mascara}. This is recommended before inserting Watershed markers. This tool is located on the \textbf{Tools} menu. Select \textbf{Mask}, then \textbf{Clean mask}, or use the shortcut \textbf{CTRL+SHIFT+A}.
 \begin{figure}[!htb]
 \centering
@@ -77,11 +79,9 @@ Segmentation may leave some unwanted holes. It&#39;s recommended to fill them becaus
 \label{fig:mask_manual_fill_holes_window}
 \end{figure}
-It's possible to fill hole on a mask slice (\textbf{2D - Actual slice}) or on all slices, selecting the option \textbf{3D - All slices}. It's also possible to configure the connectivity used. It may be $4$ or $8$ to 2D and $6$, $18$ and $26$ to 3D.
+It is possible to fill hole on a mask slice (\textbf{2D - Actual slice}) or on all slices, selecting the option (\textbf{3D - All slices}). The connectivity may also be configured: $4$ or $8$ for 2D and $6$, $18$ and $26$ for 3D.
-After configuring the desired parameters click with the \textbf{left-button} of the mouse on holes to fill them.
-
-The figure~\ref{fig:mask_fill_hole}.a shows mask with some holes and other mask with the holes filled (figure~\ref{fig:mask_fill_hole}.b). Click on the \textbf{close} button or close the dialog to deactivate this tool.
+After configuring the desired parameters left-click on holes to fill them. Figure~\ref{fig:mask_fill_hole}.a shows a mask with some holes and other mask with the holes filled (Figure~\ref{fig:mask_fill_hole}.b). Click on the close button or close the dialog to deactivate this tool.
 \begin{figure}[!htb]
   \centering
@@ -95,7 +95,7 @@ The figure~\ref{fig:mask_fill_hole}.a shows mask with some holes and other mask 
 \section{Fill holes automatically}
-To open this tool go to the menu \textbf{Tools}, \textbf{Mask}, \textbf{Fill holes automatically} (figure~\ref{fig:menu_mask_automatic_fill_holes}). It'll open a dialog to configure the parameters. This tool doesn't require the user to click on holes he desire to fill. This tool will fill the holes based on the \textbf{max hole size parameter} given in number of voxels (figure~\ref{fig:mask_automatic_fill_holes_window}).
+To open this tool go to the \textbf{Tools} menu, select \textbf{Mask} then \textbf{Fill holes automatically} (Figure~\ref{fig:menu_mask_automatic_fill_holes}). This will open a dialog to configure the parameters. This tool doesn’t require the user to click on holes he desire to fill. This tool will fill the holes based on the \textbf{max hole size parameter} given in number of voxels (Figure~\ref{fig:mask_automatic_fill_holes_window}).
 \begin{figure}[!htb]
 \centering
@@ -111,15 +111,15 @@ To open this tool go to the menu \textbf{Tools}, \textbf{Mask}, \textbf{Fill hol
 \label{fig:mask_automatic_fill_holes_window}
 \end{figure}
-It's possible to fill hole on a mask slice (\textbf{2D - Actual slice}) or on all slices, selecting the option \textbf{3D - All slices}. It's also possible to configure the connectivity used. It may be $4$ or $8$ to 2D and $6$, $18$ and $26$ to 3D. In 2D case it's needed to indicate in which orientation window the holes will be filled.
+Holes can also be filled on a mask slice (\textbf{2D - Actual slice}) or on all slices, selecting the option (\textbf{3D - All slices}. The connectivity will thus be $4$ or $8$ to 2D and $6$, $18$ and $26$ to 3D. If 2D, the user must indicate in which orientation window the holes will be filled.
-After setting the parameters click in \textbf{Apply} button. If the result is not suitable set other hole size value or try other connectivity. Click on \textbf{Close} button to close this tool.
+After setting the parameters click \textbf{Apply}. If the result is not suitable set another hole size value or connectivity. Click \textbf{Close} to close this tool.
 \section{Remove parts}
-After generating a surface is recommended to remove the unwanted disconnected parts from mask. In this way the surface generation will use less RAM and the process will be quicker.  To remove the unwanted parts go the menu  \textbf{Tools}, \textbf{Mask} e \textbf{Remove Parts} (figure~\ref{fig:menu_mask_remove_part}). A dialog will be shown to configure the parameters of selection (figure~\ref{fig:mask_remove_parts_window}).
+After generating a surface, it is recommended to remove the unwanted disconnected parts from a mask. This way the surface generation will use less RAM and make the process quicker. To remove any unwanted parts, go to the \textbf{Tools} menu, select \textbf{Mask} and then \textbf{Remove Parts} (Figure~\ref{fig:menu_mask_remove_part}). A dialog will be shown to configure the selection parameters  (Figure~\ref{fig:mask_remove_parts_window}).
-It's possible to select disconnected part only on a mask slice (\textbf{2D - Actual slice}) or on all slices, selecting the option \textbf{3D - All slices}. It's also possible to configure the connectivity used. It may be $4$ or $8$ to 2D and $6$, $18$ and $26$ to 3D.
+It’s possible to select disconnected parts only on a mask slice (\textbf{2D - Actual slice}) or on all slices (\textbf{3D - All slices}); users may also configure the connectivity at the same time.
 \begin{figure}[!htb]
 \centering
@@ -135,7 +135,7 @@ It&#39;s possible to select disconnected part only on a mask slice (\textbf{2D - Act
 \label{fig:mask_remove_parts_window}
 \end{figure}
-After selecting the desired parameters click with the \textbf{left-button} of the mouse on the region you want to remove. The figure~\ref{fig:mask_removed_part} an example of mask before and after remove a disconnected part. Click on \textbf{Close} button to close this tool.
+After selecting the desired parameters click with the \textbf{left-button} of the mouse on the region you want to remove. Figure~\ref{fig:mask_removed_part} shows an example of a mask before and after the removal of unused parts. Click \textbf{Close} to stop using this tool.
 \begin{figure}[!htb]
   \centering
@@ -148,10 +148,9 @@ After selecting the desired parameters click with the \textbf{left-button} of th
 \section{Select parts}
-To open Select parts tool go to menu \textbf{Tools}, \textbf{Mask}, \textbf{Select parts} (figure~\ref{fig:menu_mask_select_part}). A dialog will be shown to configure the parameters which are the name of the new mask and the connectivity ($6$, $18$ or $26$).
-
-Click with \textbf{left-button} of the mouse on the wanted pixel of the region you want to select. It's possible to select more than one region. The selected region(s) will be shown with a red mask. After selecting all the wanted regions click on the \textbf{Ok} button to create a new mask with regions selected. The figure~\ref{fig:mask_selected_part}.a shows a region selected in red color. The figure~\ref{fig:mask_selected_part}.b shows the selected region in a new mask.
+To open the Select parts tool, access the \textbf{Tools} menu, select \textbf{Mask} then \textbf{Select parts} (Figure~\ref{fig:menu_mask_select_part}). A dialog will be shown to configure the the name of the new mask and the connectivity ($6$, $18$ or $26$).
+To select a region, \textbf{left-click} on a pixel; multiple regions can be selected. The selected region(s) will be shown with a red mask. After selecting all the wanted regions, click \textbf{OK} to create a new mask with the selected regions. Figure~\ref{fig:mask_selected_part}.a shows a region selected in red. Figure~\ref{fig:mask_selected_part}.b shows the selected region in a new mask.
 \begin{figure}[!htb]
 \centering
@@ -178,7 +177,7 @@ Click with \textbf{left-button} of the mouse on the wanted pixel of the region y
 \section{Crop}
-It's possible to cut part of a mask in order to select an region of interest. This may reduce the amount of information to processed when generating a surface. To open this tool go to the menu \textbf{Tool}, \textbf{Mask}, \textbf{Crop} (figure~\ref{fig:menu_mask_crop}).
+The crop tool allows users to select and use a specific section of image of interest. This may reduce the amount of information needed to be processed when generating a surface. To open, access the \textbf{Tool} menu, then \textbf{Mask} and \textbf{Crop} (Figure~\ref{fig:menu_mask_crop}).
 \begin{figure}[!htb]
 \centering
@@ -187,4 +186,4 @@ It&#39;s possible to cut part of a mask in order to select an region of interest. Th
 \label{fig:menu_mask_crop}
 \end{figure}
-It will be shown a bounding boxes in each orientation window.
+A box allowing for the selection of a specific area will then be displayed.
 \ No newline at end of file
 \chapter{Segmentation}
-To select a certain type of tissue from an image it's used the segmentation feature at InVesalius.
+To select a certain type of tissue from an image it is used the segmentation feature at InVesalius.
 \section{Threshold}
-Limiar é uma técnica de segmentação de imagens que permite selecionar da imagem somente os \textit{pixels} cuja intensidade está dentro de um limiar definido pelo usuário.  O limiar é definido por dois números, limiares inicial e final, também conhecidos como \textit{thresholds} mínimo e máximo. Como referência para a definição, é utilizada a escala de Hounsfield (tabela \ref{tab:escala_hounsfield}).
+When using the thresholding segmentation technique, only the pixels whose intensity is inside the threshold range defined by the user are detected. The threshold is defined by two values, the initial (minimum) and final (maximum) threshold.
 In thresholding segmentation technique only the \textit{pixels} whose intensity is inside threshold range defined by the user. Threshold is defined by two number, the initial and final threshold, also known as minimum and maximum threshold. ...
-Thresholding segmentation is located at the InVesalius left-panel, item \textbf{2. Select region of interest} (figure~\ref{fig:region_selection}).
+Thresholding segmentation is located the InVesalius left-panel, item \textbf{2. Select region of interest} (Figure~\ref{fig:region_selection}).
 \begin{figure}[!htb]
 \centering
@@ -17,7 +17,7 @@ Thresholding segmentation is located at the InVesalius left-panel, item \textbf{
 \label{fig:region_selection}
 \end{figure}
-Before starting segment it's necessary to configure a mask. A mask is a image overlayed to exam image where the selected regions are colored. See figure~\ref{fig:region_selection_masc}
+Before starting a segment it is necessary to configure a mask. A mask is a image over to examine an image where the selected regions are colored. (Figure~\ref{fig:region_selection_masc}).
 \begin{figure}[!htb]
 \centering
@@ -26,17 +26,18 @@ Before starting segment it&#39;s necessary to configure a mask. A mask is a image ov
 \label{fig:region_selection_masc}
 \end{figure}
-To change the threshold you may use the control that represents the image grayscale (figure~\ref{fig:region_selection_bar}). Move the \textit{left} sliding control to change the initial threshold. Move the \textit{right} sliding control to change the final threshold. It's also possible to to digit the desired threshold values in the text boxes in the left and right side of the thresholding control. Changing the thresholding values, automatically the mask will be updated, showing with a color the \textit{pixel} that are inside the thresholding range.
+To change the threshold, use the image greyscale control (Figure~\ref{fig:region_selection_bar}). Move the \textit{left} sliding control to change the initial threshold. Move the \textbf{right} sliding control to change the final threshold. It is also possible to to input the desired threshold values in the text boxes in
+the left and right side of the thresholding control. The mask will be automatically updated when the thresholding values are changed, showing in color the pixels inside the thresholding range.
 \begin{figure}[!htb]
 \centering
 \includegraphics[scale=0.75]{segmentation_threshold_bar.png}
-\caption{Selecting the \textit{pixels} with intensity between $226$ and $3021$ (Bone)}
+\caption{Selecting \textit{pixels} with intensity between $226$ and $3021$ (Bone)}
 \label{fig:region_selection_bar}
 \end{figure}
-It's also possible to select some predefined thresholding values based on some type of tissues, like displayed in the figure~\ref{fig:limiar_presets}. Just select the desired tissue and the mask automatically updated.
+It is also possible to select some predefined thresholding values based on some type of tissues, like those displayed in Figure~\ref{fig:limiar_presets}. Just select the desired tissue and the mask will automatically update.
 \begin{figure}[!htb]
 \centering
@@ -45,7 +46,7 @@ It&#39;s also possible to select some predefined thresholding values based on some t
 \label{fig:limiar_presets}
 \end{figure}
-The table~\ref{tab:limiar} show thresholding values according to some tissues or materials.
+Table~\ref{tab:limiar} show thresholding values according to some tissues or materials.
 \begin{table}[h]
 \centering
@@ -76,9 +77,9 @@ Spongial Bone (Child) &amp; 156 &amp; 585\\
 \end{table}
 \newpage
-The table~\ref{tab:limiar} is indicated to images obtained from medical tomographs. The range of gray values from images obtained from odontological tomographs are greater and non-regular. Thus, it's necessary to use sliding control (figure~\ref{fig:region_selection_bar}) to adjust the thresholding values.
+Table~\ref{tab:limiar} indicates images obtained from medical tomographs. The range of gray values from images obtained from odontological tomographs are greater and non-regular. Thus, it is necessary to use sliding controls (Figure~\ref{fig:region_selection_bar}) to adjust the thresholding values.
-If you want to create a new mask click on the button \textbf{Create new mask} inside the item  \textbf{2. Select region of interest}. See the figure~\ref{fig:shortcut_new_mask}.
+To create a new mask, click \textbf{Create new mask} (Figure~\ref{fig:shortcut_new_mask}). Then, click \textbf{Select region of interest}.
 \begin{figure}[!htb]
 \centering
@@ -87,9 +88,7 @@ If you want to create a new mask click on the button \textbf{Create new mask} in
 \label{fig:shortcut_new_mask}
 \end{figure}
-Clicando-se nesse atalho, uma nova janela será apresentada (figure \ref{fig:create_new_mask}).  Selecione a faixa de limiar desejada e clique em \textbf{OK}.
-
-After clicking on this button a dialog will be shown (figure~\ref{fig:create_new_mask}). Select the desired threshold and click on \textbf{Ok}.
+After clicking on this button a dialog will be shown (Figure~\ref{fig:create_new_mask}). Select the desired threshold and click on \textbf{Ok}.
 \begin{figure}[!htb]
 \centering
@@ -100,9 +99,9 @@ After clicking on this button a dialog will be shown (figure~\ref{fig:create_new
 \newpage
-After the segmentation it's possible to generate a corresponding 3D surface. The surface is formed by triangles. The following chapter will give more details about surfaces.
+After segmentation it is possible to generate a corresponding 3D surface. The surface is formed by triangles. The following chapter will give more details about surfaces.
-Click on the \textbf{Create surface} button (figure~\ref{fig:generate_surface}) to create a new surface. If there is a surface created previously you may overwrite it with the new one. To do this select the option \textbf{Overwrite last surface} before creating the new surface.
+Click on the \textbf{Create surface} button (Figure~\ref{fig:generate_surface}) to create a new surface. If there is a surface created previously you may overwrite it with the new one. To do this select the option \textbf{Overwrite last surface} before creating the new surface.
 \begin{figure}[!htb]
 \centering
@@ -111,7 +110,7 @@ Click on the \textbf{Create surface} button (figure~\ref{fig:generate_surface}) 
 \label{fig:generate_surface}
 \end{figure}
-After a few moments the surface will be displayed at the 3D visualization window of InVesalius (figure~\ref{fig:surface}).
+After a few moments the surface will be displayed at the 3D visualization window of InVesalius (Figure~\ref{fig:surface}).
 \begin{figure}[!htb]
 \centering
@@ -124,7 +123,7 @@ After a few moments the surface will be displayed at the 3D visualization window
 \section{Manual segmentation (Image edition)}
-Thresholding segmentation may not be efficient in some case since it's applied to the whole image. Manual segmentation may be used o segment only an isolated image region. Manual segmentation turns possible to add or remove some image regions to the segmentation. Manual segmentation requires more knowledge of  human anatomy. To use it click on \textbf{Manual edition} (figure~\ref{fig:advanced_edition}) to open the manual segmentation panel.
+Thresholding segmentation may not be efficient in some cases since it is applied to the whole image. Manual segmentation may be used to segment only an isolated region. Manual segmentation also allows users to add or remove some image regions from the segmentation. To use it click on \textbf{Manual edition} (Figure~\ref{fig:advanced_edition}) to open the manual segmentation panel.
 \begin{figure}[!htb]
 \centering
@@ -142,7 +141,7 @@ Figure~\ref{fig:edition_slices_ref} show the Manual segmentation panel.
 \label{fig:edition_slices_ref}
 \end{figure}
-There are two brushes used to segmentation: a circle and a square. Click on triangle icon (see figure~\ref{fig:brush_type}) to and click on the desired brush.
+There are two brushes used for segmentation: a circle and a square. Click on the triangle icon (see Figure~\ref{fig:brush_type}) to show brush types, then click on the desired brush.
 \begin{figure}[!htb]
 \centering
@@ -153,7 +152,7 @@ There are two brushes used to segmentation: a circle and a square. Click on tria
 \newpage
-It's also possible to adjust the brush size, like shown in the figure~\ref{fig:select_diameter}.
+Brush sizes can also be adjusted, as shown in Figure~\ref{fig:select_diameter}.
 \begin{figure}[!htb]
 \centering
@@ -162,16 +161,17 @@ It&#39;s also possible to adjust the brush size, like shown in the figure~\ref{fig:s
 \label{fig:select_diameter}
 \end{figure}
-It's needed to select the operation to be performed by the brush. These are the options:
+The following are available options when using brushes in InVesalius:
-\textbf{Draw}: to add a non-selected region to the segmentation;
+\begin{itemize}
+	\item \textbf{Draw}: for adding a non-selected region to the segmentation;
-\textbf{Erase}: to remove a selected region from the segmentation;
+	\item \textbf{Erase}: for removal of a non-selected region;
-\textbf{Threshold}: applies the thresholding locally, adding or removing a
-region if in inside or outside of the threshold range.
+	\item \textbf{Threshold}: applies the thresholding locally, adding or removing a region inside or outside of the threshold range.
+\end{itemize}
-Figure~\ref{fig:select_brush_operations} shows the operations.
+Figure~\ref{fig:select_brush_operations} shows the available brush operations.
 \begin{figure}[!htb]
 \centering
@@ -180,7 +180,7 @@ Figure~\ref{fig:select_brush_operations} shows the operations.
 \label{fig:select_brush_operations}
 \end{figure}
-Figure~\ref{fig:noise_amalgaman} shows a image with noises caused by the presence of dental prosthesis. See the rays emerging from the dental arch. The thresholding segments the noise since its intensity is inside of the threshold of bone.
+Figure~\ref{fig:noise_amalgaman} shows a image with noise caused by the presence of a dental prosthesis. Note the rays emerging from the dental arch: the thresholding segments the noise since its intensity is inside of the threshold of bone.
 \begin{figure}[!htb]
 \centering
@@ -189,7 +189,7 @@ Figure~\ref{fig:noise_amalgaman} shows a image with noises caused by the presenc
 \label{fig:noise_amalgaman}
 \end{figure}
-Figure~\ref{fig:surface_amagaman} shows a surface create from that segmentation.
+Figure~\ref{fig:surface_amagaman} shows a surface created from that segmentation.
 \begin{figure}[!htb]
 \centering
@@ -205,9 +205,9 @@ Figure~\ref{fig:surface_amagaman} shows a surface create from that segmentation.
 \label{fig:surface_amagaman_zoom}
 \end{figure}
-In such cases use the manual segmentation with the \textbf{erase} brush. Keep the \textbf{left} mouse button pressed while dragging the brush over region you want to remove (in mask).
+In such cases use the manual segmentation with the \textbf{erase} brush. Keep the \textbf{left} mouse button pressed while dragging the brush over the region to be removed (in mask).
-Figure\ref{fig:editor_amalgaman} shows the image from figure~\ref{fig:noise_amalgaman} after the edition.
+Figure\ref{fig:editor_amalgaman} shows the image from Figure~\ref{fig:noise_amalgaman} after.
 \begin{figure}[!htb]
 \centering
@@ -223,11 +223,7 @@ Figure\ref{fig:editor_amalgaman} shows the image from figure~\ref{fig:noise_amal
 \label{fig:surface_edited_amalgaman}
 \end{figure}
-Realizada a edição, basta gerar a superfície a partir da imagem editada (figure \ref{fig:surface_edited_amalgaman}). Como houve edição, ao clicar em \textbf{Criar superfície}, será requerido se deseja gerar a superfície a partir do método \textbf{binário} ou utilizando o método de suavização \textbf{Suavização sensível ao contexto} (figure \ref{fig:new_surface_edited}) para minimizar os "degraus" na superfície.  Demais detalhes serão discutidos no capítulo \ref{cap_surface}.
-%\ref{fig:generate_surface}).
-
-It's possible to generate a surface after manual segmentation (figure~\ref{fig:surface_edited_amalgaman}). Since it was used the manual segmentation, when you click on \textbf{Create surface} button, a dialog (figure~\ref{fig:new_surface_edited}) will be opened to  to select if the surface will be created with the method \textbf{Binary} (blocky aspect) or \textbf{Context aware smoothing} (smoother).
-
+A surface can be generated after manual segmentation (Figure~\ref{fig:surface_edited_amalgaman}). Since it was used in the manual segmentation procedure, when clicking on Create surface button, a dialog (Figure~\ref{fig:new_surface_edited}) will be opened to to select if the surface will be created with the method \textbf{Binary} (blocky) or \textbf{Context aware smoothing (smoother)}.
 \begin{figure}[!htb]
 \centering
@@ -239,7 +235,7 @@ It&#39;s possible to generate a surface after manual segmentation (figure~\ref{fig:s
 \section{Watershed}
-In watershed segmentation the user indicates with marks what is object and what is background. This method treats the image as watershed (hence the name watershed) in which the gray values (intensity) are the altitudes, forming valleys and mountains. The markers are water source. The waters fill the watershed until the waters gather together segmenting, this way, the background from the object. To use Watershed segmentation click on \textbf{Watershed} to open the watershed panel (figure~\ref{fig:watershed_painel}).
+In watershed segmentation the user demarcates objects and background detail. This method treats the image as watershed (hence the name) in which the gray values (intensity) are the altitudes, forming valleys and mountains. The markers are water source. The waters fill the watershed until the waters gather together, thus distinguishing background from object. To use Watershed segmentation click on Watershed to open the watershed panel (Figure~\ref{fig:watershed_painel}).
 \begin{figure}[!htb]
 \centering
@@ -248,11 +244,12 @@ In watershed segmentation the user indicates with marks what is object and what 
 \label{fig:watershed_painel}
 \end{figure}
-Before starting to segment with watershed it recommended to clean the mask (see section~\ref{cap:limpeza_mascara}).
+Before segmenting to with Watershed it recommended to clean the mask (see section~\ref{cap:limpeza_mascara}).
+
+To insert a marker (object or background), a brush is used, similar to manual segmenting. You can use a circle or square brush and set its size.
-To insert a marker (object or background) is used a brush, like when manual segmenting. You can use a circle or square brush and set its size.
+Select brush operations from the following:
-It necessary to select the brush operation, which are the following:
 \begin{itemize}
     \item \textbf{Object}: to insert object markers;
     \item \textbf{Background}: to insert background markers (not object);
@@ -260,11 +257,11 @@ It necessary to select the brush operation, which are the following:
 \end{itemize}
-The option \textbf{Overwrite mask} is used when the user wants that the result of watershed segmentation overwrites the existent segmentation. The option \textbf{Use WWWL} is used to make watershed take into account the image with the values of \textbf{window width} and \textbf{window level} not the raw one, which may result in better segmentation.
+The option \textbf{Overwrite mask} is used when the user wants the result of watershed segmentation to overwrite the existing segmentation. The option \textbf{Use WWWL} is used to make watershed take into account the image with the values of window width and window level (not the raw image) which may result in better segmentation.
-Click on the button on the left side of the panel (figure~\ref{fig:watershed_conf}) to access more watershed configurations. This button will open a dialog (figure~\ref{fig:watershed_janela_conf}). The method option allows to choose the Watershed algorithm to be used to segment. It may be the conventional \textbf{Watershed} or \textbf{Watershed IFT}, which is based on the IFT (\textit{Image Forest Transform}) method. In some cases, like brain segmentation, the \textbf{Watershed IFT} may have a better result.
+Click on the button on the left side of the panel (Figure~\ref{fig:watershed_conf}) to access more watershed configurations. This button will open a dialog (Figure~\ref{fig:watershed_janela_conf}). The method option allows to choose the Watershed algorithm to be used to segment. It may be the conventional \textbf{Watershed} or \textbf{Watershed IFT}, which is based on the IFT (\textit{Image Forest Transform}) method. In some cases, like brain segmentation, the \textbf{Watershed IFT} may have a better result.
-The connectivity option refers to the pixel neighbourhood which may be $4$ or $8$ when in 2D,  or $6$, $18$ or $26$ when in 3D. \textbf{Gaussian sigma} is a parameter used in the smoothing algorithm (the image is smoothed before the segmentation to remove the noise and get better results). The greater this value the smoother the smoother the image will be.
+The connectivity option refers to the pixel neighbourhood ($4$ or $8$ when in 2D,  or $6$, $18$ or $26$ when in 3D). \textbf{Gaussian sigma} is a parameter used in the smoothing algorithm (the image is smoothed before the segmentation to remove the noise and get better results). The greater this value the smoother the smoother the image will be.
 \begin{figure}[!htb]
     \centering
@@ -280,7 +277,9 @@ The connectivity option refers to the pixel neighbourhood which may be $4$ or $8
     \label{fig:watershed_janela_conf}
 \end{figure}
-Normally, the \textbf{Watershed} is applied only in one slice, not in the whole image. After adding the markers is possible to apply the watershed to the whole image, just click on the button \textbf{Expand watershed to 3D}. Figure~\ref{fig:watershed_2d} shows the result of watershed segmentation in a slice (2D) of brain image. Figure~\ref{fig:watershed_3d} shows the segmentation expanded to the whole image (3D).
+Normally the \textbf{Watershed} is applied only in one slice, not in the whole image. After adding the markers is possible to apply the watershed to the whole image by clicking on the button \textbf{Expand watershed to 3D}. Figure~\ref{fig:watershed_2d} shows the result of watershed segmentation in a slice (2D) of brain image. 
+
+Figure~\ref{fig:watershed_3d} shows the segmentation expanded to the whole image (3D).
 Figure~\ref{fig:watershed_2d} also shows the object markers (in light green), the background markers (in red) and the segmentation mask (in green) overlaying the selected regions (result).
@@ -316,12 +315,10 @@ Region growing tool is accessed in the menu \textbf{Tools}, \textbf{Segmentation
     \label{fig:segmentation_region_growing_dinamic}
 \end{figure}
-A técnica parte de um pixel inicial que é indicado clicando com o \textbf{botão direito} do mouse, os pixels vizinhos que satisfazem as condições indicadas anteriormente são selecionados. Cada método leva em consideração diferentes condições, a seguir são apresentadas as diferenças entre cada método:
-
-This segmentation technique starts with a pixel (indicated by the user clicking with the left-button of the mouse). If the neighbour pixels meet some conditions are selected. Iteratively, the selection expands analyzing the neighbourhood of the selected pixels. Each region growing method has a different condition of selection:
+This segmentation technique starts with a pixel (indicated by the user left-clicking with the mouse). The selection expands by analyzing the neighbourhood of the selected pixels and including those of a given set of qualities. Each region growing method has a different condition of selection:
 \begin{itemize}
-	\item \textbf{Dynamic}: In this method uses the value of the pixel clicked by the user. Then every connected pixel inside the lower (min) and the upper (max) range deviation are selected. The option \textbf{Use WWWL} is default and makes region growing taking into account the image with \textbf{window width} and \textbf{window level} applied not the raw one (figure~\ref{fig:segmentation_region_growing_dinamic_parameter}).
+	\item \textbf{Dynamic}: Uses the value of the pixel clicked by the user. Then every connected pixel inside the lower (min) and the upper (max) range deviation are selected. The option \textbf{Use WWWL} is default and takes into account the image with \textbf{window width} and \textbf{window level} applied not the raw one (figure~\ref{fig:segmentation_region_growing_dinamic_parameter}).
 	\begin{figure}[!htb]
 	\centering
@@ -330,7 +327,7 @@ This segmentation technique starts with a pixel (indicated by the user clicking 
 	\label{fig:segmentation_region_growing_dinamic_parameter}
 	\end{figure}
-	\item \textbf{Threshold}: This method selects the pixels whose intensity are inside the minimum and maximum threshold (figure~\ref{fig:segmentation_region_growing_limiar}).
+	\item \textbf{Threshold}: This method selects the pixels whose intensity are inside the minimum and maximum threshold (Figure~\ref{fig:segmentation_region_growing_limiar}).
 	\begin{figure}[!htb]
 	\centering
@@ -339,7 +336,7 @@ This segmentation technique starts with a pixel (indicated by the user clicking 
 	\label{fig:segmentation_region_growing_limiar}
 	\end{figure}
-    \item \textbf{Confidence}: This method starts by calculating the standard deviation and the mean value of the pixel selected by the user and its neighbourhood. Connected pixels with value inside the range (given by the mean more and less the standard deviation multiplied by the \textbf{Multiplier} parameter). It's calculated the mean and the standard deviation from the selected pixels. Which follows by other expansion step. This process is repeated according to the number of \textbf{Iterations} parameter. The figure~\ref{fig:segmentation_region_growing_confidence_parameter} shows the parameters for this method.
+    \item \textbf{Confidence}: This method starts by calculating the standard deviation and the mean value of the pixel selected by the user and its neighbourhood. Connected pixels with value inside the range (given by the mean more and less the standard deviation multiplied by the \textbf{Multiplier} parameter). It then calculates the mean and the standard deviation from the selected pixels, then carries out the expansion.  This process is repeated according to the \textbf{Iterations} parameter. Figure~\ref{fig:segmentation_region_growing_confidence_parameter} shows the parameters for this method.
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 	\centering