Review of brain lesion detection and classification using neuroimaging analysis techniques

Neuroimaging plays an important role in the diagnosis brain lesions such as tumors, strokes and infections. Within this context, magnetic resonance diffusion-weighted imaging (DWI) is clinically recommended in the differential diagnosis of several brain lesions by providing detailed information rega...

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Main Author:	Farah Nadhirah
Other Authors:	Norhashimah Mohd Saad
Format:	Journal
Published:	Jurnal Teknologi, Universiti Teknologi Malaysia 2015
Subjects:	Mathematics & statistics
Online Access:	http://www.myjurnal.my/public/article-view.php?id=90748

id	oai:www.myjurnal.my:90748
recordtype	eprints
spelling	oai:www.myjurnal.my:907482018-09-20T00:00:00Z Review of brain lesion detection and classification using neuroimaging analysis techniques Farah Nadhirah Mathematics & statistics Neuroimaging plays an important role in the diagnosis brain lesions such as tumors, strokes and infections. Within this context, magnetic resonance diffusion-weighted imaging (DWI) is clinically recommended in the differential diagnosis of several brain lesions by providing detailed information regarding lesion based on the diffusion of water molecules. Conventionally, the differential diagnosis of brain lesions is performed visually by professional neuroradiologists during a highly subjective, time-consuming process. In response, computer-aided detection/diagnosis (CAD) has become a major topic of research and, in light of novel image processing techniques, has become a widespread, possibly indispensable tool for accurate diagnosis and reduce the time required. The objective of this review is to show the recent published techniques and state-of-the-art neuroimaging techniques for the human brain lesions. The review covers neuroimaging modalities, magnetic resonance imaging, DWI and analysis techniques for CAD in detecting and classifying of brain lesion. Jurnal Teknologi, Universiti Teknologi Malaysia Norhashimah Mohd Saad 2015-00-00 Journal application/pdf 90748 www.myjurnal.my/filebank/published_article/4116411.pdf www.myjurnal.my/public/article-view.php?id=90748
repository_type	Digital Repository
institution_category	Local Institution
institution	MyJournal
building	MyJournal Repository
collection	Online Access
topic	Mathematics & statistics
spellingShingle	Mathematics & statistics Farah Nadhirah Review of brain lesion detection and classification using neuroimaging analysis techniques
description	Neuroimaging plays an important role in the diagnosis brain lesions such as tumors, strokes and infections. Within this context, magnetic resonance diffusion-weighted imaging (DWI) is clinically recommended in the differential diagnosis of several brain lesions by providing detailed information regarding lesion based on the diffusion of water molecules. Conventionally, the differential diagnosis of brain lesions is performed visually by professional neuroradiologists during a highly subjective, time-consuming process. In response, computer-aided detection/diagnosis (CAD) has become a major topic of research and, in light of novel image processing techniques, has become a widespread, possibly indispensable tool for accurate diagnosis and reduce the time required. The objective of this review is to show the recent published techniques and state-of-the-art neuroimaging techniques for the human brain lesions. The review covers neuroimaging modalities, magnetic resonance imaging, DWI and analysis techniques for CAD in detecting and classifying of brain lesion.
author2	Norhashimah Mohd Saad
author_facet	Norhashimah Mohd Saad Farah Nadhirah
format	Journal
author	Farah Nadhirah
author_sort	Farah Nadhirah
title	Review of brain lesion detection and classification using neuroimaging analysis techniques
title_short	Review of brain lesion detection and classification using neuroimaging analysis techniques
title_full	Review of brain lesion detection and classification using neuroimaging analysis techniques
title_fullStr	Review of brain lesion detection and classification using neuroimaging analysis techniques
title_full_unstemmed	Review of brain lesion detection and classification using neuroimaging analysis techniques
title_sort	review of brain lesion detection and classification using neuroimaging analysis techniques
publisher	Jurnal Teknologi, Universiti Teknologi Malaysia
publishDate	2015
url	http://www.myjurnal.my/public/article-view.php?id=90748
first_indexed	2018-09-20T12:59:36Z
last_indexed	2018-09-20T12:59:36Z
_version_	1612238926999715840

Review of brain lesion detection and classification using neuroimaging analysis techniques

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