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DC Field | Value | Language |
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dc.contributor.author | Nagulan, R. | |
dc.contributor.author | Andrew, S. | |
dc.contributor.author | Oleg, D. | |
dc.contributor.author | Ali, H. | |
dc.date.accessioned | 2019-10-24T02:46:43Z | |
dc.date.accessioned | 2022-06-27T04:11:19Z | - |
dc.date.available | 2019-10-24T02:46:43Z | |
dc.date.available | 2022-06-27T04:11:19Z | - |
dc.date.issued | 2012-01 | |
dc.identifier.uri | http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1267 | - |
dc.description.abstract | This 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.iso | en_US | en_US |
dc.publisher | ElSEVIER/Medical image Analysis | en_US |
dc.subject | Probabilistic fibre tracking | en_US |
dc.subject | Average curves | en_US |
dc.subject | Branching | en_US |
dc.subject | Quantitative analysis | en_US |
dc.title | A novel approach for improved tractography and quantitative analysis of probabilistic fibre tracking curves | en_US |
dc.type | Article | en_US |
Appears in Collections: | Physical Science |
Files in This Item:
File | Description | Size | Format | |
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A Novel Approach for Improved Tractography and Quantitative Analysis of Probabilistic Fibre Tracking Curves.pdf | 111.88 kB | Adobe PDF | View/Open |
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