Segmentation of CT head images

This paper presents the segmentation of the CT head images with different techniques. The system partitions the CT head images into four regions which are skull, calcifications, cerebrospinal fluid (CSF) and brain matter. The method consists of two phases. The first phase is to partition the skull,...

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Main Authors: Tong, Lee Hau, Ahmad Fauzi, Mohammad Faizal, Ryoichi, Komiya
Format: Book Section
Language:English
Published: IEEE Xplore 2008
Subjects:
Online Access:http://shdl.mmu.edu.my/2882/
http://shdl.mmu.edu.my/2882/1/Segmentation%20of%20CT%20Head%20Images.pdf
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author Tong, Lee Hau
Ahmad Fauzi, Mohammad Faizal
Ryoichi, Komiya
author_facet Tong, Lee Hau
Ahmad Fauzi, Mohammad Faizal
Ryoichi, Komiya
author_sort Tong, Lee Hau
building MMU Institutional Repository
collection Online Access
description This paper presents the segmentation of the CT head images with different techniques. The system partitions the CT head images into four regions which are skull, calcifications, cerebrospinal fluid (CSF) and brain matter. The method consists of two phases. The first phase is to partition the skull, CSF and brain matter in which we applied the Expectation maximization (EM) algorithm for the segmentation. The second phase is to identify the calcifications where we used thresholding. The system has been tested with a number of real CT head images and has achieved promising results.
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format Book Section
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institution Multimedia University
institution_category Local University
language English
last_indexed 2025-11-14T18:08:26Z
publishDate 2008
publisher IEEE Xplore
recordtype eprints
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spelling mmu-28822014-07-10T06:45:39Z http://shdl.mmu.edu.my/2882/ Segmentation of CT head images Tong, Lee Hau Ahmad Fauzi, Mohammad Faizal Ryoichi, Komiya T Technology (General) QA Mathematics This paper presents the segmentation of the CT head images with different techniques. The system partitions the CT head images into four regions which are skull, calcifications, cerebrospinal fluid (CSF) and brain matter. The method consists of two phases. The first phase is to partition the skull, CSF and brain matter in which we applied the Expectation maximization (EM) algorithm for the segmentation. The second phase is to identify the calcifications where we used thresholding. The system has been tested with a number of real CT head images and has achieved promising results. IEEE Xplore 2008-05 Book Section NonPeerReviewed text en http://shdl.mmu.edu.my/2882/1/Segmentation%20of%20CT%20Head%20Images.pdf Tong, Lee Hau and Ahmad Fauzi, Mohammad Faizal and Ryoichi, Komiya (2008) Segmentation of CT head images. In: International Conference on BioMedical Engineering and Informatics, 2008. BMEI 2008. IEEE Xplore, pp. 233-237. ISBN 978-0-7695-3118-2 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4549169 10.1109/BMEI.2008.306 10.1109/BMEI.2008.306 10.1109/BMEI.2008.306
spellingShingle T Technology (General)
QA Mathematics
Tong, Lee Hau
Ahmad Fauzi, Mohammad Faizal
Ryoichi, Komiya
Segmentation of CT head images
title Segmentation of CT head images
title_full Segmentation of CT head images
title_fullStr Segmentation of CT head images
title_full_unstemmed Segmentation of CT head images
title_short Segmentation of CT head images
title_sort segmentation of ct head images
topic T Technology (General)
QA Mathematics
url http://shdl.mmu.edu.my/2882/
http://shdl.mmu.edu.my/2882/
http://shdl.mmu.edu.my/2882/
http://shdl.mmu.edu.my/2882/1/Segmentation%20of%20CT%20Head%20Images.pdf