Thanks!
Does this work even if I am using surface seeds?
Can you explain the output a bit more? What is each column in fdt_matrix2.dat? Does the second column correspond to "lookup_tractspace_fdt_matrix2.nii.gz”? What is “tract_space_coords_for_fdt_matrix2”?
Thanks again!
> On Aug 18, 2017, at 4:33 AM, Saad Jbabdi <[log in to unmask]> wrote:
>
> If you use -omatrix2 with a whole brain mask as target2, then the resulting matrix will store one fdt_paths per seed as rows of the matrix.
>
> Cheers
> Saad
>
>> On 17 Aug 2017, at 21:39, Max Bertolero <[log in to unmask]> wrote:
>>
>> Is there a way to get a separate fdt_paths.nii image for each seed, so that, for each seed to seed, I know the most common voxels that the tracts went through?
>>
>> I am guessing that --otargetpaths might do this, but it seems to use a ton of memory to run.
>>
>> Thanks!
>>
>
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