Ratnarajah, Nagulan and Simmons, Andy and Davydov, Oleg and Hojjatoleslami, Ali
(2010)
*
A Novel White Matter Fibre Tracking Algorithm Using Probabilistic Tractography and Average Curves.
*
In:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010 13th International Conference.
Lecture Notes in Computer Science
.
Springer, Berlin, Germany, pp. 666-673.
ISBN 978-3-642-15704-2.
E-ISBN 978-3-642-15705-9.
(doi:10.1007/978-3-642-15705-9_81)
(The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |

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.

- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV

- Depositors only (login required):