Prostate segmentation and multimodal registration in 3D ultrasound images
Prostate cancer has been ranked as one of the leading causes of cancer death for men. This thesis addresses two important issues that arise in the transrectal ultrasound (TRUS) guided prostate cancer biopsy and treatment. The first is the prostate boundary detection in ultrasound images. In this wor...
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| Format: | Thesis |
| Language: | English |
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2011
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| Online Access: | https://hdl.handle.net/10356/43577 |
| _version_ | 1826113910890037248 |
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| author | Shao, Wei |
| author2 | Ling Keck Voon |
| author_facet | Ling Keck Voon Shao, Wei |
| author_sort | Shao, Wei |
| collection | NTU |
| description | Prostate cancer has been ranked as one of the leading causes of cancer death for men. This thesis addresses two important issues that arise in the transrectal ultrasound (TRUS) guided prostate cancer biopsy and treatment. The first is the prostate boundary detection in ultrasound images. In this work, we proposed a novel method based on the statistical shape model, to automatically segment the prostate from the real-time 3D ultrasound images. Prior knowledge of the prostate in 3D TRUS images is characterized by a few model parameters and used in the boundary search procedure as constraints. The second is the multimodal image registration that aims at bringing the suspected cancer map which is obtained in the magnetic resonance imaging and spectroscopy techniques (MRI/MRS) to the intra-operative ultrasound images. We proposed a generic framework of a surface-to-image registration technique applicable to ultrasound image, and investigate its use with organs of different rigidity and the formulation of the similarity measurements based on the acoustic appearance. To account for the prostate deformation occurred between modalities, we explored the use of parametric surface matching and the thin-plate spline transformation to establish the deformation transformation. An elastic pelvic phantom was designed for the validation. |
| first_indexed | 2024-10-01T03:30:59Z |
| format | Thesis |
| id | ntu-10356/43577 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:30:59Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/435772023-07-04T16:14:59Z Prostate segmentation and multimodal registration in 3D ultrasound images Shao, Wei Ling Keck Voon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Prostate cancer has been ranked as one of the leading causes of cancer death for men. This thesis addresses two important issues that arise in the transrectal ultrasound (TRUS) guided prostate cancer biopsy and treatment. The first is the prostate boundary detection in ultrasound images. In this work, we proposed a novel method based on the statistical shape model, to automatically segment the prostate from the real-time 3D ultrasound images. Prior knowledge of the prostate in 3D TRUS images is characterized by a few model parameters and used in the boundary search procedure as constraints. The second is the multimodal image registration that aims at bringing the suspected cancer map which is obtained in the magnetic resonance imaging and spectroscopy techniques (MRI/MRS) to the intra-operative ultrasound images. We proposed a generic framework of a surface-to-image registration technique applicable to ultrasound image, and investigate its use with organs of different rigidity and the formulation of the similarity measurements based on the acoustic appearance. To account for the prostate deformation occurred between modalities, we explored the use of parametric surface matching and the thin-plate spline transformation to establish the deformation transformation. An elastic pelvic phantom was designed for the validation. DOCTOR OF PHILOSOPHY (EEE) 2011-04-13T07:10:35Z 2011-04-13T07:10:35Z 2009 2009 Thesis Shao, W. (2009). Prostate segmentation and multimodal registration in 3D ultrasound images. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/43577 10.32657/10356/43577 en 227 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Shao, Wei Prostate segmentation and multimodal registration in 3D ultrasound images |
| title | Prostate segmentation and multimodal registration in 3D ultrasound images |
| title_full | Prostate segmentation and multimodal registration in 3D ultrasound images |
| title_fullStr | Prostate segmentation and multimodal registration in 3D ultrasound images |
| title_full_unstemmed | Prostate segmentation and multimodal registration in 3D ultrasound images |
| title_short | Prostate segmentation and multimodal registration in 3D ultrasound images |
| title_sort | prostate segmentation and multimodal registration in 3d ultrasound images |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
| url | https://hdl.handle.net/10356/43577 |
| work_keys_str_mv | AT shaowei prostatesegmentationandmultimodalregistrationin3dultrasoundimages |