[Mristudio-users] Multiple b-value gradient table & how to save the post-cross-out raw images
susumu
susumu at mri.jhu.edu
Thu Mar 19 07:37:42 EDT 2009
Hi Abby,
In general, when you get this message, please check the following;
1) Read the data by MRI3DView, not DtiMapping. Make sure that
DtiStudio can correctly read the raw data. Make sure that the image
dimensions (especially the numbe of the slices) are correct and there are
125 images.
2) If all the imaging parameters and the number of the images are
correct, read the data by DtiMapping by ignoring the warning message. Again,
make sure that the number of the images and image dimensions are correct and
all 125 images are read.
3) Close the window and open the initial image parameter input window
by choosing DtiMapping. There, the gradient table you specified in the last
session is still remembered by DtiStudio. The difference is, if you made any
mistake in the syntax of the gradient table (like colons and commas), you
can see how DtiStudio interpreted the table wrongly, and therefore it is
easier to detect errors.
I believe that the "b-value" option is not used if you specify b-values in
the table, but I'll confirm with Hangyi.
_____
From: mristudio-users-bounces at mristudio.org
[mailto:mristudio-users-bounces at mristudio.org] On Behalf Of Abby Ding
Sent: Thursday, March 19, 2009 5:51 AM
To: MRIstudio
Subject: [Mristudio-users] Multiple b-value gradient table & how to save the
post-cross-out raw images
Dear Susumu, dear all,
I have two questions when using the DTIstudio for DTI mapping as bellow.
Q1.I'm doing some DKI experiments which have 4 b-value (500,1000,1500,2000)
and 30 directions for each b-value on a Bruker 7T scanner. I tried to define
the multiple b-value gradient table (which was editted from the 30-direction
DTI gradient table I used to define and opened the dataset successfully) for
screening the DWI images for further calculation. But every time it kept
saying that "file size is bigger than DW-image size" and failed to open the
dataset correctly. I wonder if there is any mistake in my gradient table?
Here it is (5 b0 images)....
Furthermore, what should I put in the "b-value" option in this multiple
b-value case? Would it affect the tensor calculation?
--------------------------------------------------------------------------
0: 0.000, 0.000, 0.000
1: 0.000, 0.000, 0.000
2: 0.000, 0.000, 0.000
3: 0.000, 0.000, 0.000
4: 0.000, 0.000, 0.000
5: 0.000, 1.000, 0.000, 500
6: 0.986, 0.166, 0.000, 500
7: 0.664, -0.110, 0.740, 500
8: -0.419, 0.901, -0.110, 500
9: -0.601, -0.169, 0.781, 500
10: -0.386, -0.815, 0.433, 500
11: 0.366, 0.656, 0.660, 500
12: 0.800, 0.582, 0.143, 500
13: 0.259, 0.900, 0.350, 500
14: -0.698, 0.693, 0.178, 500
15: -0.924, 0.357, -0.140, 500
16: -0.488, 0.543, -0.683, 500
17: -0.396, -0.525, 0.753, 500
18: 0.689, -0.639, 0.341, 500
19: -0.013, -0.330, -0.944, 500
20: -0.783, -0.524, 0.335, 500
21: -0.065, 0.609, -0.791, 500
22: -0.233, 0.220, -0.947, 500
23: -0.910, -0.004, -0.415, 500
24: 0.627, -0.511, -0.589, 500
25: 0.737, 0.414, 0.535, 500
26: 0.139, -0.679, -0.721, 500
27: -0.296, 0.884, 0.362, 500
28: 0.432, 0.262, 0.863, 500
29: 0.185, 0.088, -0.979, 500
30: -0.907, 0.294, 0.302, 500
31: -0.089, 0.887, -0.453, 500
32: -0.443, 0.257, 0.859, 500
33: 0.867, 0.086, -0.491, 500
34: 0.504, 0.863, -0.025, 500
35: 0.000, 1.000, 0.000, 1000
36: 0.986, 0.166, 0.000, 1000
37: 0.664, -0.110, 0.740, 1000
38: -0.419, 0.901, -0.110, 1000
39: -0.601, -0.169, 0.781, 1000
40: -0.386, -0.815, 0.433, 1000
41: 0.366, 0.656, 0.660, 1000
42: 0.800, 0.582, 0.143, 1000
43: 0.259, 0.900, 0.350, 1000
44: -0.698, 0.693, 0.178, 1000
45: -0.924, 0.357, -0.140, 1000
46: -0.488, 0.543, -0.683, 1000
47: -0.396, -0.525, 0.753, 1000
48: 0.689, -0.639, 0.341, 1000
49: -0.013, -0.330, -0.944, 1000
50: -0.783, -0.524, 0.335, 1000
51: -0.065, 0.609, -0.791, 1000
52: -0.233, 0.220, -0.947, 1000
53: -0.910, -0.004, -0.415, 1000
54: 0.627, -0.511, -0.589, 1000
55: 0.737, 0.414, 0.535, 1000
56: 0.139, -0.679, -0.721, 1000
57: -0.296, 0.884, 0.362, 1000
58: 0.432, 0.262, 0.863, 1000
59: 0.185, 0.088, -0.979, 1000
60: -0.907, 0.294, 0.302, 1000
61: -0.089, 0.887, -0.453, 1000
62: -0.443, 0.257, 0.859, 1000
63: 0.867, 0.086, -0.491, 1000
64: 0.504, 0.863, -0.025, 1000
65: 0.000, 1.000, 0.000, 1500
66: 0.986, 0.166, 0.000, 1500
67: 0.664, -0.110, 0.740, 1500
68: -0.419, 0.901, -0.110, 1500
69: -0.601, -0.169, 0.781, 1500
70: -0.386, -0.815, 0.433, 1500
71: 0.366, 0.656, 0.660, 1500
72: 0.800, 0.582, 0.143, 1500
73: 0.259, 0.900, 0.350, 1500
74: -0.698, 0.693, 0.178, 1500
75: -0.924, 0.357, -0.140, 1500
76: -0.488, 0.543, -0.683, 1500
77: -0.396, -0.525, 0.753, 1500
78: 0.689, -0.639, 0.341, 1500
79: -0.013, -0.330, -0.944, 1500
80: -0.783, -0.524, 0.335, 1500
81: -0.065, 0.609, -0.791, 1500
82: -0.233, 0.220, -0.947, 1500
83: -0.910, -0.004, -0.415, 1500
84: 0.627, -0.511, -0.589, 1500
85: 0.737, 0.414, 0.535, 1500
86: 0.139, -0.679, -0.721, 1500
87: -0.296, 0.884, 0.362, 1500
88: 0.432, 0.262, 0.863, 1500
89: 0.185, 0.088, -0.979, 1500
90: -0.907, 0.294, 0.302, 1500
91: -0.089, 0.887, -0.453, 1500
92: -0.443, 0.257, 0.859, 1500
93: 0.867, 0.086, -0.491, 1500
94: 0.504, 0.863, -0.025, 1500
95: 0.000, 1.000, 0.000, 2000
96: 0.986, 0.166, 0.000, 2000
97: 0.664, -0.110, 0.740, 2000
98: -0.419, 0.901, -0.110, 2000
99: -0.601, -0.169, 0.781, 2000
100: -0.386, -0.815, 0.433, 2000
101: 0.366, 0.656, 0.660, 2000
102: 0.800, 0.582, 0.143, 2000
103: 0.259, 0.900, 0.350, 2000
104: -0.698, 0.693, 0.178, 2000
105: -0.924, 0.357, -0.140, 2000
106: -0.488, 0.543, -0.683, 2000
107: -0.396, -0.525, 0.753, 2000
108: 0.689, -0.639, 0.341, 2000
109: -0.013, -0.330, -0.944, 2000
110: -0.783, -0.524, 0.335, 2000
111: -0.065, 0.609, -0.791, 2000
112: -0.233, 0.220, -0.947, 2000
113: -0.910, -0.004, -0.415, 2000
114: 0.627, -0.511, -0.589, 2000
115: 0.737, 0.414, 0.535, 2000
116: 0.139, -0.679, -0.721, 2000
117: -0.296, 0.884, 0.362, 2000
118: 0.432, 0.262, 0.863, 2000
119: 0.185, 0.088, -0.979, 2000
120: -0.907, 0.294, 0.302, 2000
121: -0.089, 0.887, -0.453, 2000
122: -0.443, 0.257, 0.859, 2000
123: 0.867, 0.086, -0.491, 2000
124: 0.504, 0.863, -0.025, 2000
----------------------------------------------------------------------------
---------------------
Q2. I'd like to save the post-cross-out raw images (Philips REC file format)
in order to record the images I used to calculate the tensor, but I found no
way to achieve that either by using "save" or "save as" function in
DTIstudio. Is DTIstudio capable to save these data? I just want to achieve
that every time when I open the same dataset, it will automatically show me
where I've crossed out for tensor calculation last time.
Thank you very much for your attention!
Best Regards,
Abby
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