Brain Connectivity Measures via Direct Sub-Finslerian Front Propagation on the 5D Sphere Bundle of Positions and Directions

被引：1

作者：

Portegies, Jorg ^{[1
]}

Meesters, Stephan ^{[1
,2
,3
]}

Ossenblok, Pauly ^{[1
]}

Fuster, Andrea ^{[1
]}

Florack, Luc ^{[1
]}

Duits, Remco ^{[1
]}

机构：

[1] Eindhoven Univ Technol, Dept Math & Comp Sci, Eindhoven, Netherlands

[2] Acad Ctr Epileptol Kempenhaeghe, Maastricht, Netherlands

[3] Maastricht Univ, Med Ctr, Maastricht, Netherlands

来源：

COMPUTATIONAL DIFFUSION MRI (CDMRI 2018) | 2019年

基金：

欧洲研究理事会;

关键词：

Diffusion MRI; Brain connectivity; Fast-marching; Sphere bundle; Geodesic fronts; Finsler geometry; ELECTRICAL-STIMULATION; ANTERIOR NUCLEUS; THALAMUS; TRACTOGRAPHY; DECONVOLUTION; GEODESICS; SYSTEM;

D O I：

10.1007/978-3-030-05831-9_24

中图分类号：

R445 [影像诊断学];

学科分类号：

100207 ;

摘要：

We propose a novel connectivity measure between brain regions using diffusion-weighted MRI. This connectivity measure is based on optimal sub-Finslerian geodesic front propagation on the 5D base manifold of (3D) positions and (2D) directions, the so-called sphere bundle. The advantage over spatial front propagations is that it prevents leakage at omnipresent crossings. Our optimal fronts on the sphere bundle are geodesically equidistant w.r.t. an asymmetric Finsler metric, and can be computed with existing anisotropic fast-marching methods. Comparisons to ground truth connectivities provided by the ISBI-HARDI challenge reveal promising results, both quantitatively and qualitatively. We also apply the connectivity measures to real data from the Human Connectome Project.

引用

页码：309 / 321

页数：13