Commit 8bdc2a60fedf36c4fa80f5cf4f49dd0d827c5b62
1 parent
d0d68211
Exists in
master
and in
56 other branches
Adding mips.pyx to invesalius project
Showing
2 changed files
with
392 additions
and
0 deletions
Show diff stats
@@ -0,0 +1,379 @@ | @@ -0,0 +1,379 @@ | ||
1 | +#http://en.wikipedia.org/wiki/Local_maximum_intensity_projection | ||
2 | +import numpy as np | ||
3 | +cimport numpy as np | ||
4 | +cimport cython | ||
5 | + | ||
6 | +from libc.math cimport floor, ceil, sqrt, fabs | ||
7 | +from cython.parallel import prange | ||
8 | + | ||
9 | +DTYPE = np.uint8 | ||
10 | +ctypedef np.uint8_t DTYPE_t | ||
11 | + | ||
12 | +DTYPE16 = np.int16 | ||
13 | +ctypedef np.int16_t DTYPE16_t | ||
14 | + | ||
15 | +DTYPEF32 = np.float32 | ||
16 | +ctypedef np.float32_t DTYPEF32_t | ||
17 | + | ||
18 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | ||
19 | +def lmip(np.ndarray[DTYPE16_t, ndim=3] image, int axis, DTYPE16_t tmin, | ||
20 | + DTYPE16_t tmax, np.ndarray[DTYPE16_t, ndim=2] out): | ||
21 | + cdef DTYPE16_t max | ||
22 | + cdef int start | ||
23 | + cdef int sz = image.shape[0] | ||
24 | + cdef int sy = image.shape[1] | ||
25 | + cdef int sx = image.shape[2] | ||
26 | + | ||
27 | + # AXIAL | ||
28 | + if axis == 0: | ||
29 | + for x in xrange(sx): | ||
30 | + for y in xrange(sy): | ||
31 | + max = image[0, y, x] | ||
32 | + if max >= tmin and max <= tmax: | ||
33 | + start = 1 | ||
34 | + else: | ||
35 | + start = 0 | ||
36 | + for z in xrange(sz): | ||
37 | + if image[z, y, x] > max: | ||
38 | + max = image[z, y, x] | ||
39 | + | ||
40 | + elif image[z, y, x] < max and start: | ||
41 | + break | ||
42 | + | ||
43 | + if image[z, y, x] >= tmin and image[z, y, x] <= tmax: | ||
44 | + start = 1 | ||
45 | + | ||
46 | + out[y, x] = max | ||
47 | + | ||
48 | + #CORONAL | ||
49 | + elif axis == 1: | ||
50 | + for z in xrange(sz): | ||
51 | + for x in xrange(sx): | ||
52 | + max = image[z, 0, x] | ||
53 | + if max >= tmin and max <= tmax: | ||
54 | + start = 1 | ||
55 | + else: | ||
56 | + start = 0 | ||
57 | + for y in xrange(sy): | ||
58 | + if image[z, y, x] > max: | ||
59 | + max = image[z, y, x] | ||
60 | + | ||
61 | + elif image[z, y, x] < max and start: | ||
62 | + break | ||
63 | + | ||
64 | + if image[z, y, x] >= tmin and image[z, y, x] <= tmax: | ||
65 | + start = 1 | ||
66 | + | ||
67 | + out[z, x] = max | ||
68 | + | ||
69 | + #CORONAL | ||
70 | + elif axis == 2: | ||
71 | + for z in xrange(sz): | ||
72 | + for y in xrange(sy): | ||
73 | + max = image[z, y, 0] | ||
74 | + if max >= tmin and max <= tmax: | ||
75 | + start = 1 | ||
76 | + else: | ||
77 | + start = 0 | ||
78 | + for x in xrange(sx): | ||
79 | + if image[z, y, x] > max: | ||
80 | + max = image[z, y, x] | ||
81 | + | ||
82 | + elif image[z, y, x] < max and start: | ||
83 | + break | ||
84 | + | ||
85 | + if image[z, y, x] >= tmin and image[z, y, x] <= tmax: | ||
86 | + start = 1 | ||
87 | + | ||
88 | + out[z, y] = max | ||
89 | + | ||
90 | + | ||
91 | +cdef DTYPE16_t get_colour(DTYPE16_t vl, DTYPE16_t wl, DTYPE16_t ww): | ||
92 | + cdef DTYPE16_t out_colour | ||
93 | + cdef DTYPE16_t min_value = wl - (ww / 2) | ||
94 | + cdef DTYPE16_t max_value = wl + (ww / 2) | ||
95 | + if vl < min_value: | ||
96 | + out_colour = min_value | ||
97 | + elif vl > max_value: | ||
98 | + out_colour = max_value | ||
99 | + else: | ||
100 | + out_colour = vl | ||
101 | + | ||
102 | + return out_colour | ||
103 | + | ||
104 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | ||
105 | +@cython.cdivision(True) | ||
106 | +cdef float get_opacity(DTYPE16_t vl, DTYPE16_t wl, DTYPE16_t ww) nogil: | ||
107 | + cdef float out_opacity | ||
108 | + cdef DTYPE16_t min_value = wl - (ww / 2) | ||
109 | + cdef DTYPE16_t max_value = wl + (ww / 2) | ||
110 | + if vl < min_value: | ||
111 | + out_opacity = 0.0 | ||
112 | + elif vl > max_value: | ||
113 | + out_opacity = 1.0 | ||
114 | + else: | ||
115 | + out_opacity = 1.0/(max_value - min_value) * (vl - min_value) | ||
116 | + | ||
117 | + return out_opacity | ||
118 | + | ||
119 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | ||
120 | +@cython.cdivision(True) | ||
121 | +cdef float get_opacity_f32(DTYPEF32_t vl, DTYPE16_t wl, DTYPE16_t ww) nogil: | ||
122 | + cdef float out_opacity | ||
123 | + cdef DTYPE16_t min_value = wl - (ww / 2) | ||
124 | + cdef DTYPE16_t max_value = wl + (ww / 2) | ||
125 | + if vl < min_value: | ||
126 | + out_opacity = 0.0 | ||
127 | + elif vl > max_value: | ||
128 | + out_opacity = 1.0 | ||
129 | + else: | ||
130 | + out_opacity = 1.0/(max_value - min_value) * (vl - min_value) | ||
131 | + | ||
132 | + return out_opacity | ||
133 | + | ||
134 | + | ||
135 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | ||
136 | +@cython.cdivision(True) | ||
137 | +def mida(np.ndarray[DTYPE16_t, ndim=3] image, int axis, DTYPE16_t wl, | ||
138 | + DTYPE16_t ww, np.ndarray[DTYPE16_t, ndim=2] out): | ||
139 | + cdef int sz = image.shape[0] | ||
140 | + cdef int sy = image.shape[1] | ||
141 | + cdef int sx = image.shape[2] | ||
142 | + | ||
143 | + cdef DTYPE16_t min = image.min() | ||
144 | + cdef DTYPE16_t max = image.max() | ||
145 | + cdef DTYPE16_t vl | ||
146 | + | ||
147 | + cdef DTYPE16_t min_value = wl - (ww / 2) | ||
148 | + cdef DTYPE16_t max_value = wl + (ww / 2) | ||
149 | + | ||
150 | + cdef float fmax=0.0 | ||
151 | + cdef float fpi | ||
152 | + cdef float dl | ||
153 | + cdef float bt | ||
154 | + | ||
155 | + cdef float alpha | ||
156 | + cdef float alpha_p = 0.0 | ||
157 | + cdef float colour | ||
158 | + cdef float colour_p = 0 | ||
159 | + | ||
160 | + cdef int x, y, z | ||
161 | + | ||
162 | + # AXIAL | ||
163 | + if axis == 0: | ||
164 | + for x in prange(sx, nogil=True): | ||
165 | + for y in xrange(sy): | ||
166 | + fmax = 0.0 | ||
167 | + alpha_p = 0.0 | ||
168 | + colour_p = 0.0 | ||
169 | + for z in xrange(sz): | ||
170 | + vl = image[z, y, x] | ||
171 | + fpi = 1.0/(max - min) * (vl - min) | ||
172 | + if fpi > fmax: | ||
173 | + dl = fpi - fmax | ||
174 | + fmax = fpi | ||
175 | + else: | ||
176 | + dl = 0.0 | ||
177 | + | ||
178 | + bt = 1.0 - dl | ||
179 | + | ||
180 | + colour = fpi | ||
181 | + alpha = get_opacity(vl, wl, ww) | ||
182 | + colour = (bt * colour_p) + (1 - bt * alpha_p) * colour * alpha | ||
183 | + alpha = (bt * alpha_p) + (1 - bt * alpha_p) * alpha | ||
184 | + | ||
185 | + colour_p = colour | ||
186 | + alpha_p = alpha | ||
187 | + | ||
188 | + if alpha >= 1.0: | ||
189 | + break | ||
190 | + | ||
191 | + | ||
192 | + #out[y, x] = <DTYPE16_t>((max_value - min_value) * colour + min_value) | ||
193 | + out[y, x] = <DTYPE16_t>((max - min) * colour + min) | ||
194 | + | ||
195 | + | ||
196 | + #CORONAL | ||
197 | + elif axis == 1: | ||
198 | + for z in prange(sz, nogil=True): | ||
199 | + for x in xrange(sx): | ||
200 | + fmax = 0.0 | ||
201 | + alpha_p = 0.0 | ||
202 | + colour_p = 0.0 | ||
203 | + for y in xrange(sy): | ||
204 | + vl = image[z, y, x] | ||
205 | + fpi = 1.0/(max - min) * (vl - min) | ||
206 | + if fpi > fmax: | ||
207 | + dl = fpi - fmax | ||
208 | + fmax = fpi | ||
209 | + else: | ||
210 | + dl = 0.0 | ||
211 | + | ||
212 | + bt = 1.0 - dl | ||
213 | + | ||
214 | + colour = fpi | ||
215 | + alpha = get_opacity(vl, wl, ww) | ||
216 | + colour = (bt * colour_p) + (1 - bt * alpha_p) * colour * alpha | ||
217 | + alpha = (bt * alpha_p) + (1 - bt * alpha_p) * alpha | ||
218 | + | ||
219 | + colour_p = colour | ||
220 | + alpha_p = alpha | ||
221 | + | ||
222 | + if alpha >= 1.0: | ||
223 | + break | ||
224 | + | ||
225 | + out[z, x] = <DTYPE16_t>((max - min) * colour + min) | ||
226 | + | ||
227 | + #AXIAL | ||
228 | + elif axis == 2: | ||
229 | + for z in prange(sz, nogil=True): | ||
230 | + for y in xrange(sy): | ||
231 | + fmax = 0.0 | ||
232 | + alpha_p = 0.0 | ||
233 | + colour_p = 0.0 | ||
234 | + for x in xrange(sx): | ||
235 | + vl = image[z, y, x] | ||
236 | + fpi = 1.0/(max - min) * (vl - min) | ||
237 | + if fpi > fmax: | ||
238 | + dl = fpi - fmax | ||
239 | + fmax = fpi | ||
240 | + else: | ||
241 | + dl = 0.0 | ||
242 | + | ||
243 | + bt = 1.0 - dl | ||
244 | + | ||
245 | + colour = fpi | ||
246 | + alpha = get_opacity(vl, wl, ww) | ||
247 | + colour = (bt * colour_p) + (1 - bt * alpha_p) * colour * alpha | ||
248 | + alpha = (bt * alpha_p) + (1 - bt * alpha_p) * alpha | ||
249 | + | ||
250 | + colour_p = colour | ||
251 | + alpha_p = alpha | ||
252 | + | ||
253 | + if alpha >= 1.0: | ||
254 | + break | ||
255 | + | ||
256 | + out[z, y] = <DTYPE16_t>((max - min) * colour + min) | ||
257 | + | ||
258 | + | ||
259 | + | ||
260 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | ||
261 | +@cython.cdivision(True) | ||
262 | +cdef inline void finite_difference(DTYPE16_t[:, :, :] image, | ||
263 | + int x, int y, int z, float h, float *g) nogil: | ||
264 | + cdef int px, py, pz, fx, fy, fz | ||
265 | + | ||
266 | + cdef int sz = image.shape[0] | ||
267 | + cdef int sy = image.shape[1] | ||
268 | + cdef int sx = image.shape[2] | ||
269 | + | ||
270 | + cdef float gx, gy, gz | ||
271 | + | ||
272 | + if x == 0: | ||
273 | + px = 0 | ||
274 | + fx = 1 | ||
275 | + elif x == sx - 1: | ||
276 | + px = x - 1 | ||
277 | + fx = x | ||
278 | + else: | ||
279 | + px = x - 1 | ||
280 | + fx = x + 1 | ||
281 | + | ||
282 | + if y == 0: | ||
283 | + py = 0 | ||
284 | + fy = 1 | ||
285 | + elif y == sy - 1: | ||
286 | + py = y - 1 | ||
287 | + fy = y | ||
288 | + else: | ||
289 | + py = y - 1 | ||
290 | + fy = y + 1 | ||
291 | + | ||
292 | + if z == 0: | ||
293 | + pz = 0 | ||
294 | + fz = 1 | ||
295 | + elif z == sz - 1: | ||
296 | + pz = z - 1 | ||
297 | + fz = z | ||
298 | + else: | ||
299 | + pz = z - 1 | ||
300 | + fz = z + 1 | ||
301 | + | ||
302 | + gx = (image[z, y, fx] - image[z, y, px]) / (2*h) | ||
303 | + gy = (image[z, fy, x] - image[z, py, x]) / (2*h) | ||
304 | + gz = (image[fz, y, x] - image[pz, y, x]) / (2*h) | ||
305 | + | ||
306 | + g[0] = gx | ||
307 | + g[1] = gy | ||
308 | + g[2] = gz | ||
309 | + | ||
310 | + | ||
311 | + | ||
312 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | ||
313 | +@cython.cdivision(True) | ||
314 | +cdef inline float calc_fcm_itensity(DTYPE16_t[:, :, :] image, | ||
315 | + int x, int y, int z, float n, float* dir) nogil: | ||
316 | + cdef float g[3] | ||
317 | + finite_difference(image, x, y, z, 1.0, g) | ||
318 | + cdef float gm = sqrt(g[0]*g[0] + g[1]*g[1] + g[2]*g[2]) | ||
319 | + cdef float d = g[0]*dir[0] + g[1]*dir[1] + g[2]*dir[2] | ||
320 | + cdef float sf = (1.0 - fabs(d/gm))**n | ||
321 | + #alpha = get_opacity_f32(gm, wl, ww) | ||
322 | + cdef float vl = gm * sf | ||
323 | + return vl | ||
324 | + | ||
325 | +@cython.boundscheck(False) # turn of bounds-checking for entire function | ||
326 | +@cython.cdivision(True) | ||
327 | +def fast_countour_mip(np.ndarray[DTYPE16_t, ndim=3] image, | ||
328 | + float n, | ||
329 | + int axis, | ||
330 | + DTYPE16_t wl, DTYPE16_t ww, | ||
331 | + int tmip, | ||
332 | + np.ndarray[DTYPE16_t, ndim=2] out): | ||
333 | + cdef int sz = image.shape[0] | ||
334 | + cdef int sy = image.shape[1] | ||
335 | + cdef int sx = image.shape[2] | ||
336 | + cdef float gm | ||
337 | + cdef float alpha | ||
338 | + cdef float sf | ||
339 | + cdef float d | ||
340 | + | ||
341 | + cdef float* g | ||
342 | + cdef float* dir = [ 0, 0, 0 ] | ||
343 | + | ||
344 | + cdef DTYPE16_t[:, :, :] vimage = image | ||
345 | + cdef np.ndarray[DTYPE16_t, ndim=3] tmp = np.empty_like(image) | ||
346 | + | ||
347 | + cdef DTYPE16_t min = image.min() | ||
348 | + cdef DTYPE16_t max = image.max() | ||
349 | + cdef float fmin = <float>min | ||
350 | + cdef float fmax = <float>max | ||
351 | + cdef float vl | ||
352 | + cdef DTYPE16_t V | ||
353 | + | ||
354 | + cdef int x, y, z | ||
355 | + | ||
356 | + if axis == 0: | ||
357 | + dir[2] = 1.0 | ||
358 | + elif axis == 1: | ||
359 | + dir[1] = 1.0 | ||
360 | + elif axis == 2: | ||
361 | + dir[0] = 1.0 | ||
362 | + | ||
363 | + for z in prange(sz, nogil=True): | ||
364 | + for y in range(sy): | ||
365 | + for x in range(sx): | ||
366 | + vl = calc_fcm_itensity(vimage, x, y, z, n, dir) | ||
367 | + tmp[z, y, x] = <DTYPE16_t>vl | ||
368 | + | ||
369 | + cdef DTYPE16_t tmin = tmp.min() | ||
370 | + cdef DTYPE16_t tmax = tmp.max() | ||
371 | + | ||
372 | + #tmp = ((max - min)/<float>(tmax - tmin)) * (tmp - tmin) + min | ||
373 | + | ||
374 | + if tmip == 0: | ||
375 | + out[:] = tmp.max(axis) | ||
376 | + elif tmip == 1: | ||
377 | + lmip(tmp, axis, 700, 3033, out) | ||
378 | + elif tmip == 2: | ||
379 | + mida(tmp, axis, wl, ww, out) |
@@ -0,0 +1,13 @@ | @@ -0,0 +1,13 @@ | ||
1 | +from distutils.core import setup | ||
2 | +from distutils.extension import Extension | ||
3 | +from Cython.Distutils import build_ext | ||
4 | + | ||
5 | +import numpy | ||
6 | + | ||
7 | +setup( | ||
8 | + cmdclass = {'build_ext': build_ext}, | ||
9 | + ext_modules = [ Extension("invesalius/data/mips", ["invesalius/data/mips.pyx"], | ||
10 | + include_dirs = [numpy.get_include()], | ||
11 | + extra_compile_args=['-fopenmp'], | ||
12 | + extra_link_args=['-fopenmp'],)] | ||
13 | + ) |