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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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 |
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Singapore Singapore |
| content_provider |
NTU Library |
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DR-NTU |
| topic |
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
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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 |