nkasenburg / SPT_priors

Shortest-path tractography (SPT) with spatial priors

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Shortest-path tractography (SPT) with spatial priors

Authors: Niklas Kasenburg, Silas N. Ørting

Description

This repository contains the implementation of the shortest-path tractography framework published by Kasenburg et al. (2016). In addition to the code, it also contains the learned spatial priors created from the Human Connectome Project (HCP) data [1,2] using shortest-path tractography. Priors were created from 38 subjects for four different tracts: arcuate fasciculus (AF), cortico spinal tract (CST), inferior fronto-occipital fasciculus (IFOF) and the fornix. More details about the code and the priors can be found the in corresponding readme.

References

[1] D. C. V. Essen, S. M. Smith, D. M. Barch, T. E. J. Behrens, E. Yacoub and K. Ugurbil for the WU-Minn HCP Consortium, The WU-Minn Human Connectome Project: An overview. NeuroImage 80: 62–79 (Oct 2013)

[2] M. F. Glasser, S. N. Sotiropoulos, J. A. Wilson, T. S. Coalson, B. Fischl, J. L. Andersson, J. Xu, S. Jbabdi, M. Webster, J. R. Polimeni, D. C. V. Essen and M. Jenkinson for the WU-Minn HCP Consortium, The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage 80:105–124 (Oct 2013)

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Shortest-path tractography (SPT) with spatial priors


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Language:Python 67.7%Language:C++ 30.5%Language:Makefile 1.8%