open-discussion > Dimension problem
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Sep 2, 2012 01:09 AM | xuemei yan
Dimension problem
Dear,
I would like to know something about
dimension of data.My raw data is 256*256*35.After some processes,we
get a file named data.nii.gz,and the dimension is
151*173*41.So,could you give me some explanation?
Sep 2, 2012 07:09 AM | Zaixu Cui
RE: Dimension problem
Dear,
There are many non-brain voxel in the raw image.
To save the computer memory cost, we crop the image.
We acquire an image containing the brain exactly from the original image.
So the dimension of the image will be changed.
Best
Zaixu
There are many non-brain voxel in the raw image.
To save the computer memory cost, we crop the image.
We acquire an image containing the brain exactly from the original image.
So the dimension of the image will be changed.
Best
Zaixu
Sep 2, 2012 09:09 AM | xuemei yan
RE: Dimension problem
Hello
Thanks for your reply.
I have two other questions.
First,'ProbabilisticMatrix.mat' should be symmetrical in theory,but what I got is unsymmetrical.Why?
Second, I want to read the .trk file to see the data structure?What should I do?
xuemei
Thanks for your reply.
I have two other questions.
First,'ProbabilisticMatrix.mat' should be symmetrical in theory,but what I got is unsymmetrical.Why?
Second, I want to read the .trk file to see the data structure?What should I do?
xuemei
Sep 2, 2012 12:09 PM | Suyu Zhong
RE: Dimension problem
Dear Xuemei,
The probabilisticMatrix.mat is indeed unsymmetrical,because the probability from ROI1 to ROI2 is not exectly the same as the probability from ROI2 to ROI1.
If you want to see the data structure of the .trk file, the following link is just for reference.
http://www.trackvis.org/docs/?subsect=fileformat
Best Regards,
Suyu
The probabilisticMatrix.mat is indeed unsymmetrical,because the probability from ROI1 to ROI2 is not exectly the same as the probability from ROI2 to ROI1.
If you want to see the data structure of the .trk file, the following link is just for reference.
http://www.trackvis.org/docs/?subsect=fileformat
Best Regards,
Suyu