[Neuroimaging] Dipy - Problem creating the fiber trackting of my data

[Jorge Rudas]

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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