Novel 3D statistical shape models for segmentation of medical images

This thesis presents the development of 3D Statistical Shape Models (SSMs) for automated segmentation of 3D medical images. It also presents the automated methods for construction of Point Distribution Models (PDMs). The proposed algorithms are applied for the segmentation of 3D human brain Magnetic...

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Bibliographic Details
Main Author:	Zhao, ZheEn
Other Authors:	Teoh Eam Khwang
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:	https://hdl.handle.net/10356/4032
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4032
record_format	dspace
spelling	sg-ntu-dr.10356-40322023-07-04T17:37:13Z Novel 3D statistical shape models for segmentation of medical images Zhao, ZheEn Teoh Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics This thesis presents the development of 3D Statistical Shape Models (SSMs) for automated segmentation of 3D medical images. It also presents the automated methods for construction of Point Distribution Models (PDMs). The proposed algorithms are applied for the segmentation of 3D human brain Magnetic Resonance Images (MRIs). DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:42:58Z 2008-09-17T09:42:58Z 2006 2006 Thesis Zhao, Z. (2006). Novel 3D statistical shape models for segmentation of medical images. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/4032 10.32657/10356/4032 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Zhao, ZheEn Novel 3D statistical shape models for segmentation of medical images
description	This thesis presents the development of 3D Statistical Shape Models (SSMs) for automated segmentation of 3D medical images. It also presents the automated methods for construction of Point Distribution Models (PDMs). The proposed algorithms are applied for the segmentation of 3D human brain Magnetic Resonance Images (MRIs).
author2	Teoh Eam Khwang
author_facet	Teoh Eam Khwang Zhao, ZheEn
format	Theses and Dissertations
author	Zhao, ZheEn
author_sort	Zhao, ZheEn
title	Novel 3D statistical shape models for segmentation of medical images
title_short	Novel 3D statistical shape models for segmentation of medical images
title_full	Novel 3D statistical shape models for segmentation of medical images
title_fullStr	Novel 3D statistical shape models for segmentation of medical images
title_full_unstemmed	Novel 3D statistical shape models for segmentation of medical images
title_sort	novel 3d statistical shape models for segmentation of medical images
publishDate	2008
url	https://hdl.handle.net/10356/4032
_version_	1772827232469778432

Novel 3D statistical shape models for segmentation of medical images

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