A Novel White Matter Fibre Tracking Algorithm Using Probabilistic Tractography and Average Curves

Ratnarajah, N. and Simmons, A. and Davydov, O. and Hojjatoleslami, A. (2010) A Novel White Matter Fibre Tracking Algorithm Using Probabilistic Tractography and Average Curves. MICCAI, 6361 . pp. 666-673. ISSN 0302-9743. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1007/978-3-642-15705-9_81

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: Article
Subjects: Q Science > QA Mathematics (inc Computing science) > QA299 Analysis, Calculus
Q Science > QA Mathematics (inc Computing science) > QA440 Geometry > QA611 Topology
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Q Science > QA Mathematics (inc Computing science) > QA564 Algebraic Geometry
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Applied Mathematics
Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Faculties > Science Technology and Medical Studies > School of Computing > Theoretical Computing Group
Depositing User: Sayed Ali Hojjatoleslami
Date Deposited: 19 May 2011 10:57
Last Modified: 22 Nov 2011 16:46
Resource URI: http://kar.kent.ac.uk/id/eprint/27603 (The current URI for this page, for reference purposes)
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