[Neuroimaging] Dipy - Problem creating the fiber trackting of my data
Jorge Rudas
jrudascas at gmail.com
Wed Jul 1 01:22:03 CEST 2015
Hi again,
I thought it would be more useful to give you more information about what
we are trying to do:
- We have information of multiples subjects from 1.5T GE Health
Care resonator and 24 diffusion directions.
- This data have been converted from DICOM to .nii 4D by using dcm2nii
(the .bvec and .bval are generated automatically during the conversion).
- When in doubt of the quality of conversion, we reconstruct the model
tensor and tractography of the data after conversion, with MedINRIA and
tractography produced is very good.
- With DIPY, we basically tried to replicate the example *Deterministic
tracking with EuDX on Tensor Fields *(
http://nipy.org/dipy/examples_built/tracking_eudx_tensor.html#example-tracking-eudx-tensor)
using our data.
- For that purpose, we have only made a task of preprocessing
(segmentation of the brain using median_otsu of DIPY). We have no other
activity preprocessing.
- The rest of the implementation is exactly like the example.
Regard
Dear Dipy Team
>>
>
>
>> I have data from GE Medical Systems resonator, with 24 directions and
>> only axial view.
>>
>> I using the examples for your documentation, specificaly
>> http://nipy.org/dipy/examples_built/tracking_eudx_tensor.html#example-tracking-eudx-tensor
>> .
>>
>> But, i get the fiber tracking bad. The data was convert using dcm2nii
>> from DICOMs.
>>
>> Below, you find two link at my images of fiber tracking.
>>
>> https://www.dropbox.com/s/lc3wmv2yb1nz7uf/image%20%281%29.png?dl=0
>>
>
>
>> https://www.dropbox.com/s/gaguehp73qqgo0h/image%20%282%29.png?dl=0
>>
>
>
>>
>> Any suggestions to improve the fiber tracking with my data?
>>
>> *Jorge Rudas*
>> *National University of Colombia*
>>
>>
>
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