Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1267
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dc.contributor.authorNagulan, R.
dc.contributor.authorAndrew, S.
dc.contributor.authorOleg, D.
dc.contributor.authorAli, H.
dc.date.accessioned2019-10-24T02:46:43Z
dc.date.accessioned2022-06-27T04:11:19Z-
dc.date.available2019-10-24T02:46:43Z
dc.date.available2022-06-27T04:11:19Z-
dc.date.issued2012-01
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1267-
dc.description.abstractThis paper presents a novel approach for improved diffusion tensor fibretractography, aiming to tackle a number of the limitations of current fibre tracking algorithms, and describes a quantitative analysis tool for probabilistic tracking algorithms. We consider the sampled random paths generated by a probabilistic tractography algorithm from a seed point as a set of curves, and develop a statistical framework for analysing the curve-set geometrically that finds the average curve and dispersion measures of the curve-set statistically. This study is motivated firstly by the goal of developing a robust fibre tracking algorithm, combining the power of both deterministic and probabilistic tracking methods using average curves. These typical curves produce strong connections to every anatomically distinct fibre tract from a seed point and also convey important information about the underlying probability distribution. These single well-defined trajectories overcome a number of the limitations of deterministic and probabilistic approaches. A new clustering algorithm for branching curves is employed to separate fibres into branches before applying the averaging methods. Secondly, a quantitative analysis tool for probabilistic tracking methods is introduced using statistical measures of curve-sets. Results on phantom and in vivo data confirm the efficiency and effectiveness of the proposed approach for the tracking algorithm and the quantitative analysis of the probabilistic methods.en_US
dc.language.isoen_USen_US
dc.publisherElSEVIER/Medical image Analysisen_US
dc.subjectProbabilistic fibre trackingen_US
dc.subjectAverage curvesen_US
dc.subjectBranchingen_US
dc.subjectQuantitative analysisen_US
dc.titleA novel approach for improved tractography and quantitative analysis of probabilistic fibre tracking curvesen_US
dc.typeArticleen_US
Appears in Collections:Physical Science



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