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Titre: | Fiber Tracking Post-processing for abnormal brain tissues analysis using DW-MRI |
Auteur(s): | Boudjema, Boussaad Houfaf, Abdessalem Cherifi, Dalila (Supervisor) |
Mots-clés: | Fiber Tracking Post-processing Diffusion Weighted Imaging (DWI) |
Date de publication: | 2020 |
Editeur: | Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE) |
Résumé: | 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. |
Description: | 72p. |
URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11690 |
Collection(s) : | Computer
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