Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri

In this new technology, there are many image acquisitions that are available, which produce an image. The scientist or doctor who uses this device as part of their diagnosis may face a problem especially with the image produce by these machine. Most of the researcher needs a data of brain for furthe...

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Main Author:	Sabri, Nurbaity
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Examination Diagnosis
Online Access:	https://ir.uitm.edu.my/id/eprint/64291/1/64291.PDF
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id	my-uitm-ir.64291
record_format	uketd_dc
spelling	my-uitm-ir.642912023-06-15T03:29:21Z Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri 2010 Sabri, Nurbaity Examination. Diagnosis In this new technology, there are many image acquisitions that are available, which produce an image. The scientist or doctor who uses this device as part of their diagnosis may face a problem especially with the image produce by these machine. Most of the researcher needs a data of brain for further research in brain (Kapur, 1995). Therefore, brain extraction or skull stripping is important in their research. The objectives of this project are to extract brains from non-brain tissue using region growing technique on T2-MRI brain image, to develop and test this prototype. The scope of this prototype is T2-weighted image with axial orientation. The experiment results show the result of brain segmentation for female 85% and male 86%. In the future, this prototype need enhancement on the seed selection and multiple number of seed to produce much better result. 2010 Thesis https://ir.uitm.edu.my/id/eprint/64291/ https://ir.uitm.edu.my/id/eprint/64291/1/64291.PDF text en public degree Universiti Teknologi Mara (UiTM) Faculty Of Computer And Mathematical Sciences Jamil, Nursuriati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jamil, Nursuriati
topic	Examination Diagnosis
spellingShingle	Examination Diagnosis Sabri, Nurbaity Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri
description	In this new technology, there are many image acquisitions that are available, which produce an image. The scientist or doctor who uses this device as part of their diagnosis may face a problem especially with the image produce by these machine. Most of the researcher needs a data of brain for further research in brain (Kapur, 1995). Therefore, brain extraction or skull stripping is important in their research. The objectives of this project are to extract brains from non-brain tissue using region growing technique on T2-MRI brain image, to develop and test this prototype. The scope of this prototype is T2-weighted image with axial orientation. The experiment results show the result of brain segmentation for female 85% and male 86%. In the future, this prototype need enhancement on the seed selection and multiple number of seed to produce much better result.
format	Thesis
qualification_level	Bachelor degree
author	Sabri, Nurbaity
author_facet	Sabri, Nurbaity
author_sort	Sabri, Nurbaity
title	Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri
title_short	Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri
title_full	Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri
title_fullStr	Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri
title_full_unstemmed	Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri
title_sort	brain segmentation based on region growing using t2- weight mri image / nurbaity sabri
granting_institution	Universiti Teknologi Mara (UiTM)
granting_department	Faculty Of Computer And Mathematical Sciences
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/64291/1/64291.PDF
_version_	1783735435444355072

Brain segmentation based on region growing using T2- weight MRI image / Nurbaity Sabri

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