Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin

The Magnetic Resonance Imaging (MRI) scan is one of the technologies that offer prediction on abnormality inside the human skull and considered as the best way to detect tumour. Segmentation for the brain tumour is important since it will separate every tissue and any other elements that have been c...

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Main Author:	Zainal Abidin, Zalikha Farhanah
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Application program interfaces Image processing
Online Access:	http://ir.uitm.edu.my/id/eprint/14604/ http://ir.uitm.edu.my/id/eprint/14604/1/TD_ZALIKHA%20FARHANAH%20ZAINAL%20ABIDIN%20CS%2015_5.pdf

id	uitm-14604
recordtype	eprints
spelling	uitm-146042016-08-24T07:58:03Z http://ir.uitm.edu.my/id/eprint/14604/ Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin Zainal Abidin, Zalikha Farhanah Application program interfaces Image processing The Magnetic Resonance Imaging (MRI) scan is one of the technologies that offer prediction on abnormality inside the human skull and considered as the best way to detect tumour. Segmentation for the brain tumour is important since it will separate every tissue and any other elements that have been captured by the MRI scan. The brain tumour can be detected manually by the human experts. However, the expert might have false judgement in detecting the tumour since brain tumour detection is a tedious and difficult task to do. Moreover, there is certain point where the MRI scan gives a vague image, then the use of gadolinium, a contrast agent are needed. The use of the contrast agent will give harmful side effect to the patients. Therefore, the solutions of brain tumour detection without the use of contrast agent are needed. It is important to detect the existence of tumour at early stage since it can lead to death.n However manual recognition is time consuming. The tumour needs its treatment as soon as possible. The brain tumour detection using MRI plays a major role in brain tumour detection. This project is implemented skull stripping process that will helps future work of brain tumour detection. This project will used double thresholding method and morphology method to segment the brain images and using 30 images of T1-weighted MRI brain images as the tested data. This project accuracy results is considered acceptable with 92.438%. This project will contribute to brain tumour detection area where the proposed skull stripping methods can be used as a preliminary study in other brain tumour detection application. 2015 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/14604/1/TD_ZALIKHA%20FARHANAH%20ZAINAL%20ABIDIN%20CS%2015_5.pdf Zainal Abidin, Zalikha Farhanah (2015) Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Application program interfaces Image processing
spellingShingle	Application program interfaces Image processing Zainal Abidin, Zalikha Farhanah Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin
description	The Magnetic Resonance Imaging (MRI) scan is one of the technologies that offer prediction on abnormality inside the human skull and considered as the best way to detect tumour. Segmentation for the brain tumour is important since it will separate every tissue and any other elements that have been captured by the MRI scan. The brain tumour can be detected manually by the human experts. However, the expert might have false judgement in detecting the tumour since brain tumour detection is a tedious and difficult task to do. Moreover, there is certain point where the MRI scan gives a vague image, then the use of gadolinium, a contrast agent are needed. The use of the contrast agent will give harmful side effect to the patients. Therefore, the solutions of brain tumour detection without the use of contrast agent are needed. It is important to detect the existence of tumour at early stage since it can lead to death.n However manual recognition is time consuming. The tumour needs its treatment as soon as possible. The brain tumour detection using MRI plays a major role in brain tumour detection. This project is implemented skull stripping process that will helps future work of brain tumour detection. This project will used double thresholding method and morphology method to segment the brain images and using 30 images of T1-weighted MRI brain images as the tested data. This project accuracy results is considered acceptable with 92.438%. This project will contribute to brain tumour detection area where the proposed skull stripping methods can be used as a preliminary study in other brain tumour detection application.
format	Thesis
author	Zainal Abidin, Zalikha Farhanah
author_facet	Zainal Abidin, Zalikha Farhanah
author_sort	Zainal Abidin, Zalikha Farhanah
title	Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin
title_short	Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin
title_full	Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin
title_fullStr	Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin
title_full_unstemmed	Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin
title_sort	brain segmentation of t1-weighted mri brain images / zalikha farhanah zainal abidin
publishDate	2015
url	http://ir.uitm.edu.my/id/eprint/14604/ http://ir.uitm.edu.my/id/eprint/14604/1/TD_ZALIKHA%20FARHANAH%20ZAINAL%20ABIDIN%20CS%2015_5.pdf
first_indexed	2023-09-18T22:52:00Z
last_indexed	2023-09-18T22:52:00Z
_version_	1777417606433603584

Brain segmentation of T1-weighted MRI brain images / Zalikha Farhanah Zainal Abidin

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