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WIP: FIX: Fix multi-voxel DTI fitting#410

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jhlegarreta:fix/fix-multivoxel-dti-fit
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WIP: FIX: Fix multi-voxel DTI fitting#410
jhlegarreta wants to merge 1 commit intonipreps:mainfrom
jhlegarreta:fix/fix-multivoxel-dti-fit

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@jhlegarreta
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Fix multi-voxel DTI fitting.

Add the corresponding tests.

@jhlegarreta jhlegarreta force-pushed the fix/fix-multivoxel-dti-fit branch from 010f911 to 50498b7 Compare January 24, 2026 17:49
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codecov bot commented Jan 24, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 83.14%. Comparing base (aa271df) to head (0f652aa).

Additional details and impacted files
@@            Coverage Diff             @@
##             main     #410      +/-   ##
==========================================
+ Coverage   83.04%   83.14%   +0.09%     
==========================================
  Files          37       37              
  Lines        2070     2070              
  Branches      228      228              
==========================================
+ Hits         1719     1721       +2     
+ Misses        307      306       -1     
+ Partials       44       43       -1     

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@jhlegarreta jhlegarreta force-pushed the fix/fix-multivoxel-dti-fit branch from 50498b7 to 7924e19 Compare January 24, 2026 18:22
Fix multi-voxel DTI fitting.

Add the corresponding tests.
@jhlegarreta
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@jhlegarreta
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Looks like the issue is in our side rather than anywhere else:
https://gist.github.com/jhlegarreta/7d0c826cbfd4afe56c0fa57800fa3be9

Tests in that gist are passing: using a multi-voxel 3D arrangement vs a flattened array provide the same results in DIPY. I confess that I have not investigated this further, or have not closely inspected things.

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