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A novel white matter fibre tracking algorithm using probabilistic tractography and average curves.

Ratnarajah, Nagulan and Simmons, Andrew and Davydov, Oleg and Hojjatoleslami, Ali (2010) A novel white matter fibre tracking algorithm using probabilistic tractography and average curves. In: Med Image Comput Comput Assist Interv - MICCAI 2010, 2010-09-20.

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Abstract

This paper presents a novel white matter fibre tractography approach using average curves of probabilistic fibre tracking measures. We compute "representative" curves from the original probabilistic curve-set using two different averaging methods. These typical curves overcome a number of the limitations of deterministic and probabilistic approaches. They produce strong connections to every anatomically distinct fibre tract from a seed point and also convey important information about the underlying probability distribution. A new clustering algorithm is employed to separate fibres into branches before applying averaging methods. The performance of the technique is verified on a wide range of seed points using a phantom dataset and an in vivo dataset.

Item type: Conference or Workshop Item (Paper)
ID code: 36477
Keywords: medical imaging, fibre tractography, Probabilities. Mathematical statistics
Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Department: Faculty of Science > Mathematics and Statistics
Related URLs:
Depositing user: Pure Administrator
Date Deposited: 19 Dec 2011 11:26
Last modified: 04 Oct 2012 17:53
URI: http://strathprints.strath.ac.uk/id/eprint/36477

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