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Straightforward Diffusion MRI (DTI) and Fiber Tracking (FT) functions and examples.
DTI.m, will calculate the Apparent Diffusion Coefficient(ADC), fractional anistropy (FA), and diffusion tensor field, of a DTI datasets consisting of at least 6 dataset with different MRI gradients and at least 1 without gradient.
FT.m, will calculate neural tracts (fiber tracts) starting from every point in the brain, and outputs all fibers crossing a certain ROI.
Try DTI_example.m and then FT_example.m
Cite As
Dirk-Jan Kroon (2026). DTI and Fiber Tracking (https://ch.mathworks.com/matlabcentral/fileexchange/21130-dti-and-fiber-tracking), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Extended version of FT.m func of file ID: #21130, Volumetric 3
General Information
- Version 1.0.0.0 (5.05 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | Changed the vector [128 128 58] in [size(S0)] allowing all data sizes |
