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. Medical Image Computing and Computer-Assisted Intervention, 6361 . pp. 666-673. ISSN 0302-9743. (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)
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.