Human brain anatomical connectivity analysis using sequential sampling and resampling

Authors:
Bo Zheng;Jagath C. Rajapakse
Affiliations:
BioInformatics Research Center, School of Computer Engineering, Nanyang Technological University, Singapore;BioInformatics Research Center, School of Computer Engineering, Nanyang Technological University, Singapore and Singapore-MIT Alliance, Singapore
Venue:
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Year:
2007

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Abstract

Diffusion Tensor MR Imaging (DTI) provides non-invasive approach to track white matter (WM) trajectories within human brain in vivo, and thereby facilitates studies of anatomical connectivity between sub-cortical and cortical regions. This paper presents a probabilistic fiber tracking framework, which aims to address the two problems in earlier approaches: first, it does not adopt fractional anisotropy (FA) as the stopping criteria so that the exploration of cortico-cortical connectivity is feasible; secondly, fiber tracking process is regularized so that trajectory with low curvature means high belief of connection between two voxels.