Near-tubular fiber bundle segmentation for diffusion weighted imaging: segmentation through frame reorientation

Citation:

Niethammer M, Zach C, Melonakos J, Tannenbaum A. Near-tubular fiber bundle segmentation for diffusion weighted imaging: segmentation through frame reorientation. Neuroimage. 2009;45 (1 Suppl) :S123-32.

Date Published:

2009 Mar

Abstract:

This paper proposes a methodology to segment near-tubular fiber bundles from diffusion weighted magnetic resonance images (DW-MRI). Segmentation is simplified by locally reorienting diffusion information based on large-scale fiber bundle geometry. Segmentation is achieved through simple global statistical modeling of diffusion orientation. Utilizing a modification of a recent segmentation approach by Bresson et al. allows for a convex optimization formulation of the segmentation problem, combining orientation statistics and spatial regularization. The approach compares favorably with segmentation by full-brain streamline tractography.
Last updated on 01/24/2017