Fiber Tracking Post-processing for abnormal brain tissues analysis using DW-MRI

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Date

2020

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Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE)

Abstract

Tractography represents fiber tracts of the cerebral white matter and their connections in the brain based on Di ff usion Weighted Magnetic Resonance Imaging (DW-MRI), which can reveal abnormalities in the white matter especially in fibers’ structure. While this technique is very useful in getting a 3d model of the brain’s neural circuits, it still has some important limitations as it produces a considerable amount of false fibers connections that give rise to false information especially when dealing with abnormal brain tissues. The main objective of our project is to develop an algorithm that aims to improve the accuracy of the tractography results using fiber to bundle coherence measures by cleaning the tractography streamlines and getting rid of spurious fibers and thus obtaining more accurate 3d representation of the brain which will also improve tumors visualization.

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72p.

Keywords

Fiber Tracking Post-processing, Diffusion Weighted Imaging (DWI)

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