Anatomical analysis of brain MRI in Alzheimer’s disease

It is accepted that the onset of disease starts almost decades before appearing clinical symptoms. Developing new pharmacotherapeutic trials need to evaluate the effect of therapy in disease progression and it is ascertained that Neuroimaging based on high quality MR images is a useful way of dealin...

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Main Authors: Farzan, Ali, Mashohor, Syamsiah, Ramli, Abd Rahman, Mahmud, Rozi
Format: Conference or Workshop Item
Language:English
Published: International Institute of Engineers (IIE.org) 2014
Online Access:http://psasir.upm.edu.my/id/eprint/40239/1/40239.pdf
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spelling oai:psasir.upm.edu.my:40239 http://psasir.upm.edu.my/id/eprint/40239/ Anatomical analysis of brain MRI in Alzheimer’s disease Farzan, Ali Mashohor, Syamsiah Ramli, Abd Rahman Mahmud, Rozi It is accepted that the onset of disease starts almost decades before appearing clinical symptoms. Developing new pharmacotherapeutic trials need to evaluate the effect of therapy in disease progression and it is ascertained that Neuroimaging based on high quality MR images is a useful way of dealing with this challenge. Various processing methods have been used to diagnose Alzheimer’s disease and evaluate strength of it in three major populations (AD, MCI and NC). Each of these methods has suggested that some anatomical structures or anatomically unspecified Regions of Interest (ROI) have been influenced by disease in various grades. This paper aims to survey the recent research in MRI Neuroimaging methods and evaluate the impact of various brain parts in AD diagnosing methods. A number of various regions in all of three main tissues (CSF, GM AND WM) suffer from the effects of disease. It is revealed that temporal lobe, hippocampus and cortex are the most important structures. International Institute of Engineers (IIE.org) 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/40239/1/40239.pdf Farzan, Ali and Mashohor, Syamsiah and Ramli, Abd Rahman and Mahmud, Rozi (2014) Anatomical analysis of brain MRI in Alzheimer’s disease. In: International Conference on Advances in Engineering and Technology (ICAET'2014), 29-30 Mar. 2014, Singapore. (pp. 10-15). http://iieng.org/siteadmin/upload/9281E0314027.pdf http://dx.doi.org/10.15242/IIE.E0314027
institution UPM IR
collection UPM IR
language English
description It is accepted that the onset of disease starts almost decades before appearing clinical symptoms. Developing new pharmacotherapeutic trials need to evaluate the effect of therapy in disease progression and it is ascertained that Neuroimaging based on high quality MR images is a useful way of dealing with this challenge. Various processing methods have been used to diagnose Alzheimer’s disease and evaluate strength of it in three major populations (AD, MCI and NC). Each of these methods has suggested that some anatomical structures or anatomically unspecified Regions of Interest (ROI) have been influenced by disease in various grades. This paper aims to survey the recent research in MRI Neuroimaging methods and evaluate the impact of various brain parts in AD diagnosing methods. A number of various regions in all of three main tissues (CSF, GM AND WM) suffer from the effects of disease. It is revealed that temporal lobe, hippocampus and cortex are the most important structures.
format Conference or Workshop Item
author Farzan, Ali
Mashohor, Syamsiah
Ramli, Abd Rahman
Mahmud, Rozi
spellingShingle Farzan, Ali
Mashohor, Syamsiah
Ramli, Abd Rahman
Mahmud, Rozi
Anatomical analysis of brain MRI in Alzheimer’s disease
author_facet Farzan, Ali
Mashohor, Syamsiah
Ramli, Abd Rahman
Mahmud, Rozi
author_sort Farzan, Ali
title Anatomical analysis of brain MRI in Alzheimer’s disease
title_short Anatomical analysis of brain MRI in Alzheimer’s disease
title_full Anatomical analysis of brain MRI in Alzheimer’s disease
title_fullStr Anatomical analysis of brain MRI in Alzheimer’s disease
title_full_unstemmed Anatomical analysis of brain MRI in Alzheimer’s disease
title_sort anatomical analysis of brain mri in alzheimer’s disease
publisher International Institute of Engineers (IIE.org)
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/40239/1/40239.pdf
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