Pyafq ARC and SLF segmentation issue #171
Replies: 7 comments
-
|
Hi @nwellman13 : thanks for reporting! It would be helpful to know what version of pyAFQ you are running, and if you are not using current main, it would be helpful to know whether you still see this when using the version that is currently on main. |
Beta Was this translation helpful? Give feedback.
-
Beta Was this translation helpful? Give feedback.
-
|
Any chance you can update to current |
Beta Was this translation helpful? Give feedback.
-
|
I agree, to further clarify, you have already done the majority of the work in identifying that the problem is with cleaning. I believe the uncleaned version looks better than the cleaned one, but the uncleaned one does have a few aberrant streamlines. You can tune distance_threshold, length_threshold, and n_rounds to get the best cleaned result. Increasing the thresholds and decreasing the number of rounds will reduce the aggressiveness of the cleaning. You may also want to try current pyAFQ main and DIPY tractography if you are still unsatisfied. |
Beta Was this translation helpful? Give feedback.
-
|
I will add the on pyAFQ main we have also subdivided the SLF into 3 parts, which should help with this |
Beta Was this translation helpful? Give feedback.
-
Beta Was this translation helpful? Give feedback.
-
|
Heads up that I made this into a discussion, because I believe this is not an issue that needs to be addressed in changes to the software, but is still worth keeping around for future reference. |
Beta Was this translation helpful? Give feedback.





Uh oh!
There was an error while loading. Please reload this page.
-
Hi there,
We use qsirecon with the mrtrix_multishell_msmt_pyafq_tractometry option for processing our subjects (all kids under 18) and have noticed a fairly consistent (apparent) problem with pyafq’s segmentation, particularly for the ARC and SLF. The tracts often appear clipped prematurely. This seems to be occurring at the cleaning stage and seems to be at a point where multiple tracts intersect. It’s difficult for us to tell when this is accurate, due to an anatomical abnormality, or due to a failure in the segmentation. Any help would be appreciated!
Here's an example of the ARC before and after cleaning:
Beta Was this translation helpful? Give feedback.
All reactions