Detecting structural connectivity of the brain using DTI images

Alzheimer’s disease is a progressive brain disease and the sixth-leading cause of death in the United States, according to the Centers for Disease Control and Prevention . This poses a major problem as there is no cure for the illness. To know the differences between healthy brains and brains with A...

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Main Author: Lim, Gisela Xin Er
Other Authors: Rajapakse Jagath Chandana
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/70133
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-701332023-03-03T20:27:56Z Detecting structural connectivity of the brain using DTI images Lim, Gisela Xin Er Rajapakse Jagath Chandana School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering::Software::Programming techniques Alzheimer’s disease is a progressive brain disease and the sixth-leading cause of death in the United States, according to the Centers for Disease Control and Prevention . This poses a major problem as there is no cure for the illness. To know the differences between healthy brains and brains with Alzheimer disease in terms of their white matter connectivity and white matter tracts can provide breakthrough in the field of neurology and bioinformatics. Determining white matter impairments in Alzheimer’s disease brains can help shed some light to the reason behind this disease and solutions that can solve it. Structural connectivity of brains is crucial to understand how the brain functions. The structural connections of the brain can be measured using Diffusion Tensor Imaging (DTI). Bachelor of Engineering (Computer Science) 2017-04-12T03:22:23Z 2017-04-12T03:22:23Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70133 en Nanyang Technological University 76 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Software::Programming techniques
spellingShingle DRNTU::Engineering::Computer science and engineering::Software::Programming techniques
Lim, Gisela Xin Er
Detecting structural connectivity of the brain using DTI images
description Alzheimer’s disease is a progressive brain disease and the sixth-leading cause of death in the United States, according to the Centers for Disease Control and Prevention . This poses a major problem as there is no cure for the illness. To know the differences between healthy brains and brains with Alzheimer disease in terms of their white matter connectivity and white matter tracts can provide breakthrough in the field of neurology and bioinformatics. Determining white matter impairments in Alzheimer’s disease brains can help shed some light to the reason behind this disease and solutions that can solve it. Structural connectivity of brains is crucial to understand how the brain functions. The structural connections of the brain can be measured using Diffusion Tensor Imaging (DTI).
author2 Rajapakse Jagath Chandana
author_facet Rajapakse Jagath Chandana
Lim, Gisela Xin Er
format Final Year Project
author Lim, Gisela Xin Er
author_sort Lim, Gisela Xin Er
title Detecting structural connectivity of the brain using DTI images
title_short Detecting structural connectivity of the brain using DTI images
title_full Detecting structural connectivity of the brain using DTI images
title_fullStr Detecting structural connectivity of the brain using DTI images
title_full_unstemmed Detecting structural connectivity of the brain using DTI images
title_sort detecting structural connectivity of the brain using dti images
publishDate 2017
url http://hdl.handle.net/10356/70133
_version_ 1759853780834189312