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

Nagulan Ratnarajah, Andrew Simmons, Oleg Davydov, Ali Hojjatoleslami

Research output: Contribution to conferencePaper

4 Citations (Scopus)

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.

Original languageEnglish
Pages666-673
Number of pages8
DOIs
Publication statusPublished - 2010
EventMed Image Comput Comput Assist Interv - MICCAI 2010 - , United Kingdom
Duration: 20 Sep 2010 → …

Conference

ConferenceMed Image Comput Comput Assist Interv - MICCAI 2010
CountryUnited Kingdom
Period20/09/10 → …

Keywords

  • medical imaging
  • fibre tractography

Cite this

Ratnarajah, N., Simmons, A., Davydov, O., & Hojjatoleslami, A. (2010). A novel white matter fibre tracking algorithm using probabilistic tractography and average curves.. 666-673. Paper presented at Med Image Comput Comput Assist Interv - MICCAI 2010, United Kingdom. https://doi.org/10.1007/978-3-642-15705-9_81