Probabilistic Anatomical Connectivity Using Completion Fields

摘要：

Diffusion magnetic resonance imaging has led to active research in the analysis of anatomical connectivity in the brain. Many approaches have been proposed to model the diffusion signal and to obtain estimates of fibre tracts. Despite these advances, the question of defining probabilistic connectivity indices which utilize the relevant information in the diffusion MRI signal to indicate connectivity strength, remains largely open. To address this problem we introduce a novel numerical implementation of a stochastic completion field algorithm, which models the diffusion of water molecules in a medium while incorporating the local diffusion MRI data. We show that the approach yields a valid probabilistic estimate of connectivity strength between two seed regions, with experimental results on the MICCAI 2009 Fibre Cup phantom1.

关键词： Diffusion-MRI Tractography Connectivity 3D stochastic completion field

作者: Parya MomayyezSiahkal Kaleem Siddiqi

作者单位: Centre for Intelligent Machines, School of Computer Science, McGill University

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 566-573

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）