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 |
Files in This Item:
File | Description | Size | Format | |
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A Novel White Matter Fibre Tracking Algorithm using Probabilistic Tractography and Average Curves.pdf | 60.72 kB | Adobe PDF | View/Open |
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