Cuckoo Search Algorithm for Stochastic White Matter Fiber Tracking

カテゴリ: 国際会議

論文No: PS-04

グループ名: ACIS2015

発行日: 2015/10/15

著者名(英語): Mohammad Mohammad Shehab (Unversiti Sains Malaysia),Ahamad Tajudin Khader (Unversiti Sains Malaysia),Mohammed Azmi Al-Betar(Al-Balqa Applied University)

キーワード: Diffusion Tensor Imaging, tractography,\nCuckoo Search, multi-tensor models

要約(英語): Diffusion Tensor Imaging (DTI) is a Magnetic resonance imaging (MRI)technique used to determine the orientation of white matter fiber in the human brain in vivo. White matter fiber tracking or tractography can estimate the possible fiber paths by tracing principal diffusion directions of local tensor orientations. In tractography, the integrity of connections between different regions in the brain is determined. In this research, a novel and fast probabilistic fiber tracking method is proposed using Cuckoo Search (CS) algorithm. CS algorithm integrated with multi-tensor models solves crossing fiber to find optimal solutions of tractography. also, increase accuracy and reduce computing time by using a multi-tensor model with Bayesian method of uncertainty.

原稿種別: 英語

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