Commit 4cf108365d726e33b9364b65221fd04759221398
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7f23d9ef
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ADD: Reduced Matrix slice by slice
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11 additions
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16 deletions
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invesalius/reader/dicom_reader.py
... | ... | @@ -84,14 +84,13 @@ def LoadImages(dir_): |
84 | 84 | array = vtk.vtkStringArray() |
85 | 85 | |
86 | 86 | #Case Reduce Matrix of the Image |
87 | - flag = 0 | |
88 | - reduce_factor = 3 | |
87 | + reduce_matrix = 1 | |
89 | 88 | |
90 | 89 | img_app = vtk.vtkImageAppend() |
91 | 90 | img_app.SetAppendAxis(2) #Define Stack in Z |
92 | 91 | |
93 | 92 | for x in xrange(len(files)): |
94 | - if not(flag): | |
93 | + if not(reduce_matrix): | |
95 | 94 | array.InsertValue(x,files[x]) |
96 | 95 | else: |
97 | 96 | #SIf the resolution of the |
... | ... | @@ -100,24 +99,20 @@ def LoadImages(dir_): |
100 | 99 | read.SetFileName(files[x]) |
101 | 100 | read.Update() |
102 | 101 | |
102 | + #Resample image in x,y dimension | |
103 | + img = ResampleMatrix(read.GetOutput(), 256) | |
104 | + | |
103 | 105 | #Stack images in Z axes |
104 | - img = ResampleMatrix(read.GetOutput(), reduce_factor) | |
105 | 106 | img_app.AddInput(img) |
106 | - | |
107 | + | |
108 | + img_app.Update() | |
107 | 109 | img_axial = vtk.vtkImageData() |
108 | 110 | |
109 | - if (flag): | |
110 | - img_app.Update() | |
111 | + if (reduce_matrix): | |
111 | 112 | img_axial.DeepCopy(img_app.GetOutput()) |
112 | - | |
113 | - #TODO: Code challenge (imagedata_utils.ResampleMatrix), | |
114 | - #it is necessary to know the new spacing. | |
115 | - #spacing = read.GetOutput().GetSpacing() | |
116 | - extent = read.GetOutput().GetExtent() | |
117 | - size = read.GetOutput().GetDimensions() | |
118 | - height = float(size[1]/reduce_factor) | |
119 | - resolution = (height/(extent[1]-extent[0])+1)*spacing | |
120 | - img_axial.SetSpacing(spacing, spacing, spacing_z * resolution) | |
113 | + img_axial.SetSpacing(img_axial.GetSpacing()[0],\ | |
114 | + img_axial.GetSpacing()[1],\ | |
115 | + spacing_z) | |
121 | 116 | else: |
122 | 117 | read = vtkgdcm.vtkGDCMImageReader() |
123 | 118 | read.SetFileNames(array) | ... | ... |