Probabilistic Anatomical Connectivity Using Completion Fields

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Probabilistic Anatomical Connectivity Using Completion Fields
Abstract. 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 phantom[1]. Key words: Diffusion-MRI, Tractography, Connectivity, 3D stochastic completion field
Parya MomayyezSiahkal, Kaleem Siddiqi
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Authors Parya MomayyezSiahkal, Kaleem Siddiqi
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