UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Modelling noise-induced fibre-orientation error in Diffusion-Tensor MRI

Cook, PA; Alexander, DC; Parker, GJM; (2004) Modelling noise-induced fibre-orientation error in Diffusion-Tensor MRI. In: 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. (pp. 332 - 335).

Full text not available from this repository.

Abstract

Diffusion-Tensor MRI can be used to measure fibre orientation within the brain. Several studies have proposed methods to reconstruct known white matter fibre tracts in the brain. These methods are known as tractography. However, the measured fibre orientations are subject to error, which leads tractography methods to fail or define false connections. Probabilistic tractography methods use a model of the probability density function (PDF) of the local fibre orientation in each voxel, to calculate the likelihood of any potential fibre pathway through a DT data set. We propose the Watson distribution as a new fibre orientation PDF to replace ad hoc models used previously. We compare the Probabilistic Index of Connectivity (PICo) tractography method using three candidate PDFs and show that the Watson PDF compares favourably to the ad hoc models. © 2004 IEEE.

Type:Proceedings paper
Title:Modelling noise-induced fibre-orientation error in Diffusion-Tensor MRI
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

Archive Staff Only: edit this record