A Probabilistic Tractography in Superficial White Matter: This algorithm enables the reconstruction of the fiber tracts in Superficial White Matter (SWM), which has a sheet structure with high curvature. This tracking algorithm works on the triangular mesh representation of the SWM and overcomes difficulties in conventional volume-based tractography.
The algorithm was developed in both C++ and Matlab versions. Please check the Readme and demo01 in the corresponding folder for details of usage. If you need to compile the C++ code on Windows or Mac, you can visit branch dev-C++ for more illustration.
One subject data from the Human connectome projects (HCP) is uploaded by ifs for illustration, and you can also use the google drive link blow to download the dataset.
https://drive.google.com/file/d/1cjGqADdFo9s_4v5IIwN057iBGrawxx4B/view?usp=share_link

Necessary Data for Tractography: Fiber Orientation Distribution (FOD) data, A preregistered triangular mesh of the white matter (from T1 space to diffusion space), A binary label for ROI on the mesh, A binary label for seeds of tractography, one or two binary labels for stopping criteria. 

Preprint Publications: Probabilistic Tracking of U-fibers on the Superficial White Matter Surface. Xinyu Nie, Yonggang Shi, bioRxiv 2022.05.05.490829; doi: https://doi.org/10.1101/2022.05.05.490829

Acknowledgment: The Matlab codes that load the NIfTI document are from: Jimmy Shen (2022). Tools for NIfTI and ANALYZE image (https://www.mathworks.com/matlabcentral/fileexchange/8797-tools-for-nifti-and-analyze-image).