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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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.