[Mristudio-users] Obtaining tract volume data

Castaneda, Salvador salvador.castaneda at med.uni-tuebingen.de
Thu May 19 15:59:54 EDT 2011


 
I tried running on a 64bit system  but it didn't work.
I opened the files in Mri3DView and the number of total volumes was 769. I saved this as image.dat and opened it in DTI mapping. The gradient table, when you acquire it from the image.dat image and folder is this:
0: 0, 0, 0, 0
1: 0.036259, 0.056137, 0.997764, 200
2: 0.013466, 0.095094, 0.995377, 200
3: -0.009638, 0.015681, 0.999831, 200
4: 0.001832, -0.022235, 0.999751, 200
5: 0.033903, -0.116385, 0.992625, 200
6: -0.120536, -0.052798, 0.991304, 200
7: 0.125837, 0.004680, -0.992040, 200
8: 0.149493, -0.174174, -0.973301, 200
9: -0.026872, 0.198141, 0.979805, 200
10: -0.139299, -0.140766, -0.980194, 200
11: -0.300591, -0.086983, -0.949778, 200
12: -0.139099, 0.042379, -0.989371, 200
13: 0.172552, -0.113993, 0.978382, 200
14: 0.038590, -0.207922, 0.977384, 200
15: 0.033657, -0.297325, 0.954183, 200
16: -0.134182, -0.236161, 0.962405, 200
17: -0.287050, -0.175442, 0.941713, 200
18: -0.284042, 0.009099, 0.958769, 200
19: 0.301289, -0.098527, -0.948429, 200
20: 0.287165, -0.298248, -0.910266, 200
21: -0.063655, 0.305652, 0.950013, 200
22: -0.034158, 0.363119, 0.931117, 200
23: -0.143075, -0.322678, -0.935633, 200
24: -0.309259, -0.273854, -0.910694, 200
25: 0.470230, 0.217485, 0.855327, 200
26: 0.456033, 0.029969, 0.889458, 200
27: 0.303741, -0.011250, 0.952688, 200
28: 0.342908, -0.216865, 0.913993, 200
29: 0.209809, -0.313582, 0.926092, 200
30: 0.065844, -0.397050, 0.915432, 200
31: 0.021398, -0.480248, 0.876871, 200
32: -0.133124, -0.404479, 0.904807, 200
33: -0.304717, -0.392947, 0.867606, 200
34: 0.440864, 0.284286, -0.851364, 200
35: 0.448379, 0.089940, -0.889307, 200
36: -0.452391, 0.037178, 0.891044, 200
37: -0.455053, 0.235011, 0.858892, 200
38: -0.428186, 0.422193, 0.799006, 200
39: 0.246323, -0.456900, -0.854732, 200
40: -0.082416, 0.489028, 0.868366, 200
41: -0.019594, 0.535460, 0.844333, 200
42: 0.148339, 0.504380, 0.850645, 200
43: -0.310554, -0.456845, -0.833576, 200
44: 0.467890, 0.401117, 0.787517, 200
45: 0.619277, 0.159392, 0.768824, 200
46: -0.607824, 0.020036, -0.793818, 200
47: -0.467757, 0.109019, -0.877108, 200
48: -0.505282, 0.318847, -0.801889, 200
49: 0.377350, -0.416435, 0.827157, 200
50: 0.238544, -0.507810, 0.827784, 200
51: 0.088776, -0.584904, 0.806229, 200
52: -0.011200, -0.648146, 0.761433, 200
53: -0.163437, -0.567064, 0.807296, 200
54: -0.333650, -0.586528, 0.738012, 200
55: 0.456124, 0.477580, -0.750911, 200
56: 0.582984, 0.358747, -0.728993, 200
57: 0.600321, 0.178753, -0.779527, 200
58: 0.595215, -0.006598, -0.803539, 200
59: -0.605081, 0.179819, 0.775591, 200
60: -0.584334, 0.366385, 0.724097, 200
61: -0.533540, 0.537917, 0.652671, 200
62: 0.372150, -0.589462, -0.716966, 200
63: 0.203971, -0.631619, -0.747966, 200
64: -0.038081, 0.668874, 0.742400, 200
65: 0.107427, 0.671267, 0.733390, 200
66: -0.276565, -0.634833, -0.721456, 200
67: 0.436423, 0.579837, 0.687985, 200
68: 0.586746, 0.509690, 0.629242, 200
69: 0.614617, 0.337766, 0.712854, 200
70: -0.747235, -0.070408, -0.660820, 200
71: -0.740225, 0.157686, -0.653607, 200
72: -0.616376, 0.204745, -0.760369, 200
73: -0.668941, 0.363307, -0.648480, 200
74: -0.545117, 0.483429, -0.684940, 200
75: 0.409217, -0.587629, 0.698021, 200
76: 0.261085, -0.672117, 0.692888, 200
77: 0.100259, -0.737787, 0.667547, 200
78: -0.051884, -0.786250, 0.615727, 200
79: -0.199352, -0.713602, 0.671588, 200
80: -0.360512, -0.742101, 0.565081, 200
81: 0.479984, 0.645347, -0.594257, 200
82: 0.595629, 0.537963, -0.596509, 200
83: 0.699846, 0.419151, -0.578384, 200
84: 0.730334, 0.252692, -0.634633, 200
85: -0.739374, -0.085351, 0.667863, 200
86: -0.740223, 0.132217, 0.659233, 200
87: -0.724162, 0.307746, 0.617157, 200
88: -0.680016, 0.472366, 0.560757, 200
89: -0.610808, 0.624622, 0.486581, 200
90: -0.465596, 0.690863, 0.553108, 200
91: 0.307912, -0.743415, -0.593738, 200
92: -0.139608, 0.784653, 0.604011, 200
93: 0.029068, 0.789075, 0.613609, 200
94: -0.221269, -0.779100, -0.586552, 200
95: -0.382101, -0.732934, -0.562855, 200
96: 0.533331, 0.667426, 0.519712, 200
97: 0.669254, 0.581598, 0.462431, 200
98: 0.721238, 0.432058, 0.541425, 200
99: -0.747263, -0.257056, -0.612797, 200
100: -0.853109, -0.166885, -0.494323, 200
101: -0.852107, 0.098101, -0.514091, 200
102: -0.818856, 0.275502, -0.503561, 200
103: -0.763785, 0.420091, -0.490057, 200
104: -0.663240, 0.534602, -0.523750, 200
105: -0.544408, 0.639635, -0.542667, 200
106: -0.411817, 0.730946, -0.544175, 200
107: 0.262892, -0.801784, 0.536686, 200
108: 0.106747, -0.854417, 0.508504, 200
109: -0.077662, -0.887958, 0.453321, 200
110: -0.228520, -0.828921, 0.510558, 200
111: 0.380882, 0.839144, -0.388285, 200
112: 0.508757, 0.751237, -0.420487, 200
113: 0.622958, 0.649506, -0.435965, 200
114: 0.730241, 0.534516, -0.425489, 200
115: -0.811787, -0.371994, 0.450136, 200
116: -0.843916, -0.202772, 0.496678, 200
117: -0.852167, 0.061240, 0.519674, 200
118: -0.839753, 0.236280, 0.488863, 200
119: -0.802252, 0.401396, 0.441898, 200
120: -0.743628, 0.546715, 0.384864, 200
121: -0.662088, 0.676900, 0.321630, 200
122: -0.535336, 0.754382, 0.379900, 200
123: -0.393464, 0.815384, 0.424659, 200
124: 0.234683, -0.863471, -0.446477, 200
125: -0.057531, 0.881194, 0.469241, 200
126: -0.139792, -0.879196, -0.455491, 200
127: -0.313907, -0.849048, -0.424947, 200
128: 0.468076, 0.791046, 0.393892, 200
129: 0.601712, 0.718179, 0.349516, 200
130: 0.720257, 0.630979, 0.288263, 200
131: 0.787196, 0.494988, 0.367843, 200
132: -0.830365, -0.337456, -0.443416, 200
133: -0.917761, -0.238002, -0.317914, 200
134: -0.931300, -0.067505, -0.357944, 200
135: -0.906488, 0.233102, -0.352056, 200
136: -0.853547, 0.393741, -0.341210, 200
137: -0.767201, 0.540351, -0.345578, 200
138: -0.660922, 0.651784, -0.371967, 200
139: -0.537754, 0.750412, -0.384321, 200
140: -0.402768, 0.829810, -0.386255, 200
141: 0.258431, -0.892706, 0.369174, 200
142: 0.108288, -0.934897, 0.337996, 200
143: -0.103269, -0.952927, 0.285073, 200
144: -0.247919, -0.908086, 0.337514, 200
145: 0.387189, 0.896444, -0.215576, 200
146: 0.510010, 0.822590, -0.251468, 200
147: 0.625713, 0.731902, -0.269819, 200
148: 0.732591, 0.622074, -0.276286, 200
149: -0.825719, -0.481523, 0.293810, 200
150: -0.893115, -0.315207, 0.320922, 200
151: -0.923078, -0.146442, 0.355642, 200
152: -0.924562, 0.159829, 0.345890, 200
153: -0.896124, 0.321247, 0.306207, 200
154: -0.844171, 0.465941, 0.265093, 200
155: -0.776249, 0.592099, 0.216462, 200
156: -0.689929, 0.706497, 0.157671, 200
157: -0.580942, 0.787897, 0.204269, 200
158: -0.456911, 0.853319, 0.251158, 200
159: 0.315677, -0.906537, -0.280246, 200
160: 0.154045, -0.938848, -0.307953, 200
161: 0.063748, 0.946176, 0.317313, 200
162: -0.238359, -0.926232, -0.292026, 200
163: 0.394160, 0.881346, 0.260514, 200
164: 0.529382, 0.817229, 0.227796, 200
165: 0.646506, 0.741844, 0.178037, 200
166: 0.749878, 0.649193, 0.127401, 200
167: -0.821144, -0.538063, -0.190293, 200
168: -0.877963, -0.395612, -0.269578, 200
169: -0.941734, -0.303674, -0.144638, 200
170: -0.972785, -0.145023, -0.180713, 200
171: -0.961602, 0.192841, -0.195279, 200
172: -0.917628, 0.348329, -0.191377, 200
173: -0.842874, 0.500918, -0.196582, 200
174: -0.747422, 0.632324, -0.203780, 200
175: -0.638449, 0.736433, -0.223716, 200
176: -0.515717, 0.825565, -0.229083, 200
177: -0.380807, 0.897996, -0.220429, 200
178: 0.244375, -0.949683, 0.195917, 200
179: 0.103556, -0.980520, 0.166900, 200
180: -0.125358, -0.984739, 0.120724, 200
181: -0.259814, -0.950502, 0.170420, 200
182: 0.357112, 0.933268, -0.038492, 200
183: 0.481864, 0.872611, -0.079739, 200
184: 0.601163, 0.791669, -0.108920, 200
185: 0.709697, 0.693312, -0.125097, 200
186: -0.810680, -0.567100, 0.145587, 200
187: -0.892786, -0.418678, 0.166258, 200
188: -0.950524, -0.249310, 0.185335, 200
189: -0.976052, 0.088129, 0.198885, 200
190: -0.953022, 0.253569, 0.165687, 200
191: -0.906853, 0.402109, 0.126201, 200
192: -0.841703, 0.533089, 0.085741, 200
193: -0.755320, 0.654095, 0.040644, 200
194: -0.638760, 0.768644, 0.034221, 200
195: -0.521779, 0.850032, 0.072063, 200
196: -0.395071, 0.911888, 0.111266, 200
197: 0.251893, -0.956855, -0.144842, 200
198: 0.184927, -0.982654, -0.013881, 200
199: 0.088490, -0.982747, -0.162414, 200
200: -0.155487, -0.975737, -0.154148, 200
201: 0.315590, 0.939987, 0.129722, 200
202: 0.462076, 0.881832, 0.094115, 200
203: 0.583808, 0.810153, 0.053107, 200
204: 0.692813, 0.721088, 0.006538, 200
205: -0.800257, -0.599653, -0.001963, 200
206: -0.888084, -0.448046, -0.102767, 200
207: -0.935797, -0.352209, 0.015301, 200
208: -0.978576, -0.205441, -0.013497, 200
209: -0.987553, 0.152445, -0.038740, 200
210: -0.952344, 0.302345, -0.040364, 200
211: -0.892373, 0.447973, -0.054695, 200
212: -0.807542, 0.586311, -0.064147, 200
213: -0.704403, 0.705915, -0.074169, 200
214: -0.586852, 0.805813, -0.079175, 200
215: -0.462264, 0.883390, -0.077031, 200
216: -0.331361, 0.941979, -0.053620, 200
217: 0.194660, -0.980581, 0.023835, 200
218: -0.048128, -0.998836, -0.003247, 200
219: -0.148802, -0.982269, 0.114045, 200
220: -0.222975, -0.974806, -0.006012, 200
221: 0.306629, 0.944216, 0.120147, 200
222: 0.436739, 0.895495, 0.085720, 200
223: 0.556895, 0.829481, 0.042775, 200
224: 0.670037, 0.742041, 0.020645, 200
225: -0.772601, -0.634859, 0.006437, 200
226: -0.866962, -0.497569, 0.028322, 200
227: -0.938482, -0.343166, 0.038594, 200
228: -0.982328, -0.182467, 0.041692, 200
229: -0.983536, 0.177944, 0.031501, 200
230: -0.943267, 0.332006, -0.004445, 200
231: -0.881950, 0.469778, -0.038390, 200
232: -0.803617, 0.590776, -0.071997, 200
233: -0.698778, 0.709894, -0.088089, 200
234: -0.577622, 0.811842, -0.085235, 200
235: -0.458400, 0.886979, -0.056028, 200
236: -0.330928, 0.943475, -0.018480, 200
237: -0.264276, 0.958227, 0.109358, 200
238: 0.121618, -0.986120, 0.113033, 200
239: -0.070631, -0.997194, -0.024803, 200
240: -0.237666, -0.971344, -0.002581, 200
241: 0.386158, 0.922139, -0.023257, 200
242: 0.511709, 0.856713, -0.064782, 200
243: 0.623042, 0.774808, -0.107201, 200
244: 0.730440, 0.672019, -0.121854, 200
245: -0.820148, -0.562614, -0.104035, 200
246: -0.869952, -0.491549, 0.039536, 200
247: -0.903303, -0.419725, -0.088743, 200
248: -0.956380, -0.275585, -0.096901, 200
249: -0.987328, -0.121038, -0.102632, 200
250: -0.963306, 0.247122, 0.104749, 200
251: -0.914874, 0.393140, 0.091911, 200
252: -0.848217, 0.525025, 0.069836, 200
253: -0.754436, 0.653534, 0.060994, 200
254: -0.642941, 0.764060, 0.053286, 200
255: -0.522020, 0.851164, 0.054920, 200
256: -0.397642, 0.913960, 0.080986, 200
257: -0.032715, -0.004544, 0.999454, 800
258: 0.047086, -0.152807, -0.987134, 800
259: -0.054139, -0.077361, -0.995532, 800
260: 0.068734, -0.081769, 0.994278, 800
261: -0.023602, -0.175383, 0.984217, 800
262: 0.179363, 0.106709, -0.977979, 800
263: -0.189737, 0.048653, 0.980629, 800
264: -0.194347, 0.215235, 0.957028, 800
265: -0.029929, -0.250069, -0.967765, 800
266: 0.189677, 0.187433, 0.963790, 800
267: 0.342613, 0.122463, 0.931461, 800
268: 0.204033, 0.011518, 0.978896, 800
269: -0.222678, 0.157042, -0.962160, 800
270: 0.087670, -0.253369, 0.963389, 800
271: -0.012534, -0.339640, 0.940472, 800
272: 0.174037, 0.272060, -0.946411, 800
273: 0.320618, 0.207318, -0.924242, 800
274: 0.334791, 0.033111, -0.941711, 800
275: -0.341380, 0.135265, 0.930142, 800
276: -0.311459, 0.311507, 0.897751, 800
277: 0.107508, -0.341141, -0.933844, 800
278: 0.010395, 0.399292, 0.916765, 800
279: -0.175680, -0.349953, -0.920147, 800
280: 0.330990, 0.291617, 0.897444, 800
281: 0.478885, 0.224959, 0.848565, 800
282: 0.484644, 0.056469, 0.872887, 800
283: -0.350883, 0.050820, -0.935039, 800
284: -0.367580, 0.234252, -0.900006, 800
285: -0.238430, 0.335176, -0.911487, 800
286: 0.100548, -0.422975, 0.900546, 800
287: -0.011358, -0.498363, 0.866894, 800
288: -0.163499, -0.422184, 0.891644, 800
289: 0.316355, 0.393764, -0.863058, 800
290: 0.446193, 0.283949, -0.848695, 800
291: 0.470139, 0.112431, -0.875402, 800
292: -0.480890, 0.064159, 0.874430, 800
293: -0.463936, 0.241674, 0.852266, 800
294: -0.423483, 0.410365, 0.807628, 800
295: -0.258010, 0.456530, 0.851476, 800
296: 0.108666, -0.496721, -0.861081, 800
297: 0.010895, 0.544991, 0.838371, 800
298: -0.165249, -0.504283, -0.847580, 800
299: 0.316953, 0.452232, 0.833683, 800
300: 0.462024, 0.388678, 0.797160, 800
301: 0.614514, 0.152311, 0.774064, 800
302: -0.616603, 0.026677, -0.786822, 800
303: -0.487208, 0.123605, -0.864494, 800
304: -0.502458, 0.308158, -0.807821, 800
305: -0.379413, 0.409891, -0.829479, 800
306: -0.246105, 0.501677, -0.829308, 800
307: 0.103582, -0.579646, 0.808258, 800
308: -0.027209, -0.640306, 0.767638, 800
309: -0.174332, -0.558793, 0.810777, 800
310: 0.325195, 0.563212, -0.759632, 800
311: 0.445708, 0.457066, -0.769698, 800
312: 0.567345, 0.339057, -0.750440, 800
313: 0.595056, 0.176715, -0.784015, 800
314: 0.609916, 0.009395, -0.792410, 800
315: -0.600879, 0.175813, 0.779766, 800
316: -0.569723, 0.343934, 0.746408, 800
317: -0.513605, 0.503860, 0.694504, 800
318: -0.359612, 0.563753, 0.743547, 800
319: -0.204106, 0.611897, 0.764149, 800
320: 0.048874, -0.655985, -0.753190, 800
321: -0.110166, -0.653926, -0.748495, 800
322: 0.269810, 0.609066, 0.745816, 800
323: 0.421500, 0.548774, 0.721931, 800
324: 0.562965, 0.476211, 0.675495, 800
325: 0.600260, 0.316595, 0.734477, 800
326: -0.734784, -0.058640, -0.675761, 800
327: -0.724427, 0.140041, -0.674977, 800
328: -0.608972, 0.195791, -0.768648, 800
329: -0.647820, 0.332688, -0.685309, 800
330: -0.526194, 0.454056, -0.718995, 800
331: -0.393825, 0.557790, -0.730597, 800
332: -0.251971, 0.644496, -0.721898, 800
333: 0.099282, -0.711920, 0.695207, 800
334: -0.044768, -0.758360, 0.650297, 800
335: -0.193594, -0.684784, 0.702561, 800
336: 0.338197, 0.704857, -0.623538, 800
337: 0.456758, 0.606921, -0.650399, 800
338: 0.570137, 0.500429, -0.651548, 800
339: 0.675496, 0.382811, -0.630207, 800
340: 0.709523, 0.229130, -0.666391, 800
341: -0.728027, -0.071471, 0.681813, 800
342: -0.725140, 0.116025, 0.678756, 800
343: -0.701377, 0.278905, 0.655959, 800
344: -0.654706, 0.434674, 0.618400, 800
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693: 0.228125, 0.934952, -0.271706, 1000
694: 0.331727, 0.932186, -0.144865, 1000
695: 0.464547, 0.864362, -0.192548, 1000
696: 0.592015, 0.774852, -0.221636, 1000
697: 0.706303, 0.665637, -0.240964, 1000
698: -0.812137, -0.524604, 0.255390, 1000
699: -0.892934, -0.362352, 0.267151, 1000
700: -0.942543, -0.187154, 0.276743, 1000
701: -0.960644, 0.025934, 0.276570, 1000
702: -0.946973, 0.190853, 0.258491, 1000
703: -0.909306, 0.346127, 0.230996, 1000
704: -0.848766, 0.491647, 0.194628, 1000
705: -0.765063, 0.626049, 0.150801, 1000
706: -0.638361, 0.755751, 0.146064, 1000
707: -0.509087, 0.841033, 0.183014, 1000
708: -0.371041, 0.902182, 0.219990, 1000
709: -0.218379, 0.943779, 0.248179, 1000
710: -0.148830, 0.982349, 0.113313, 1000
711: 0.050605, -0.964402, -0.259554, 1000
712: -0.120659, -0.959790, -0.253464, 1000
713: 0.287293, 0.928169, 0.236569, 1000
714: 0.442854, 0.872256, 0.207482, 1000
715: 0.578614, 0.798948, 0.163972, 1000
716: 0.700182, 0.704443, 0.116210, 1000
717: -0.816248, -0.567298, -0.109143, 1000
718: -0.893896, -0.397413, -0.207395, 1000
719: -0.952698, -0.292700, -0.081818, 1000
720: -0.985161, -0.135864, -0.104881, 1000
721: -0.989230, 0.078420, -0.123587, 1000
722: -0.961154, 0.239283, -0.137571, 1000
723: -0.904292, 0.396723, -0.157692, 1000
724: -0.817946, 0.549242, -0.171164, 1000
725: -0.707258, 0.682772, -0.183328, 1000
726: -0.581027, 0.790599, -0.193292, 1000
727: -0.442805, 0.876473, -0.188994, 1000
728: -0.302387, 0.939693, -0.159809, 1000
729: -0.156226, 0.980071, -0.122695, 1000
730: -0.006613, -0.995882, 0.090414, 1000
731: -0.108285, -0.993878, 0.021917, 1000
732: 0.186635, 0.977716, -0.096123, 1000
733: 0.278492, 0.960043, 0.027559, 1000
734: 0.422906, 0.906026, -0.016389, 1000
735: 0.554093, 0.830209, -0.061099, 1000
736: 0.679276, 0.729046, -0.084125, 1000
737: -0.786555, -0.607012, 0.113441, 1000
738: -0.881890, -0.452949, 0.130793, 1000
739: -0.949828, -0.279886, 0.139608, 1000
740: -0.985050, -0.110787, 0.131923, 1000
741: -0.987169, 0.106528, 0.118951, 1000
742: -0.958650, 0.268097, 0.095472, 1000
743: -0.905410, 0.419730, 0.063714, 1000
744: -0.826951, 0.561609, 0.027343, 1000
745: -0.713594, 0.700390, 0.015442, 1000
746: -0.580134, 0.814383, 0.015011, 1000
747: -0.446592, 0.893582, 0.045466, 1000
748: -0.304272, 0.948966, 0.082954, 1000
749: -0.234079, 0.972085, 0.016056, 1000
750: 0.076706, -0.996842, 0.020570, 1000
751: -0.029110, -0.992515, -0.118604, 1000
752: 0.201452, 0.973671, 0.106686, 1000
753: 0.364186, 0.927727, 0.081803, 1000
754: 0.505145, 0.862223, 0.037419, 1000
755: 0.631614, 0.775262, -0.005682, 1000
756: -0.753175, -0.657324, 0.025551, 1000
757: -0.846858, -0.531745, -0.008881, 1000
758: -0.893156, -0.445599, -0.060936, 1000
759: -0.930099, -0.367278, 0.004724, 1000
760: -0.978723, -0.205012, -0.008492, 1000
761: -0.998900, -0.041282, -0.022248, 1000
762: -0.983881, 0.177767, 0.019400, 1000
763: -0.941919, 0.335835, -0.001633, 1000
764: -0.873761, 0.485508, -0.028716, 1000
765: -0.773893, 0.631986, -0.041033, 1000
766: -0.651986, 0.756588, -0.049881, 1000
767: -0.516083, 0.855183, -0.048171, 1000
768: -0.378344, 0.925432, -0.020770, 1000

I dont understand why you mention it should be 260 rows and 260 volumes? I have 256 directions and 4 B values... I dont understand where the error is...
Best,
salvador

-----Ursprüngliche Nachricht-----
Von: mristudio-users-bounces at mristudio.org [mailto:mristudio-users-bounces at mristudio.org] Im Auftrag von susumu mori
Gesendet: Donnerstag, 19. Mai 2011 20:56
An: DTI Studio, ROI Editor, DiffeoMap Questions/Support
Betreff: Re: [Mristudio-users] Obtaining tract volume data

If you are using DICOM, one of the common culprits is the mismatch
between your gradient table and the number of of the images.

Please read the images first by Mri3DView. Check the image dimensions
and the number of 3D volumes.

Then make sure the number of the 3D volumes exactly match the row of
your gradient table. in your case, there should be 260 3D images to
load and 260 rows in the table.

Another common issue is the shortage of RAM. If you are using a 32-bit
operating system, it may not be able to process your large data, no
matter how much RAM you have. To check it, limit the number of the
slices to process in the opening data input window of DtiMapping (e.g.
slice 0-4). If your calculation runs through with this limited number
of slices, then it is the RAM shortage. Then the only solution is to
migrate to a 64-bit operating system.

On Thu, May 19, 2011 at 11:56 AM, Castaneda, Salvador
<salvador.castaneda at med.uni-tuebingen.de> wrote:
> Hello Susumu,
>
> I've been using DTIstudio for over a year... It works good. But i just started running a tensor calculation with 4 b values and 256 directions. But it is crashing in the process of the calculation. I'm not requesting any other commands, just the tensor... Do you have any idea what i could do to calculate it... Do i have to analize with less bvalues?
> Thanks
> salvador
>
> -----Ursprüngliche Nachricht-----
> Von: mristudio-users-bounces at mristudio.org [mailto:mristudio-users-bounces at mristudio.org] Im Auftrag von susumu mori
> Gesendet: Donnerstag, 19. Mai 2011 17:48
> An: DTI Studio, ROI Editor, DiffeoMap Questions/Support
> Betreff: Re: [Mristudio-users] Obtaining tract volume data
>
> Hi Melisa,
>
> On Wed, May 18, 2011 at 12:12 AM,  <melcarr at umich.edu> wrote:
>> Hello,
>>
>> I'm attempting to calculate mean tract volume for a tract spanning
>> between two ROIs in a subject's FA map.
>>
>> Is it safe to define tract volume as: the number of voxels between
>> both ROIs multiplied by the size of an individual voxel?
>
> This is what we do too.
>
>>
>> Does the first measure above ("the number of voxels between both
>> ROIs") correspond to the measure "Average Length, mm" in the Fiber
>> Statistics window (an example of this window is shown in the User
>> Manual, page 26, Figure 19. Fiber-statistics)?
>
> I think the number of voxels occupied by fibers and the average length
> of the fibers are very different. The former has unit of mm^3 and the
> latter is mm. I don't use the length of fibers for quantification.
>
>
>>
>> Just wondering, thank you.
>>
>> -Melisa Carrasco
>>
>> --
>>
>> Melisa Carrasco, M.S.
>> MD/PhD Student, Year Grad-4 (Ph.D. Candidate)
>>
>> University of Michigan, Neuroscience Graduate Program, Class of 2012
>> University of Rochester School of Medicine and Dentistry, Class of 2014
>>
>> About me: http://sitemaker.umich.edu/melisa.carrasco/home
>> GO BLUE!
>>
>>
>>
>>
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