Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1270
Title: A Novel White Matter Fibre Tracking Algorithm using Probabilistic Tractography and Average Curves
Authors: Nagulan, R.
Andrew, S.
Oleg, D.
Ali, H.
Keywords: Probabilistic fiber tracking; diffusion tensor imaging;average curves;average curves
Issue Date: 2010
Publisher: Springer Berlin/Heidelberg MICCAI
Abstract: This paper presents a novel white matter fibretractography 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.
URI: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1270
Appears in Collections:Physical Science



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