3D surface characterization and localization of anatomical landmarks

This study presents a method for extracting anatomical landmarks on the surface from measured data by way of local shape analysis. In order to delineate the distortion of the anatomical structure’s surface, a 3D representation by differential geometry is used. The surface was scanned by a 3D non-con...

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主要作者: Liu, Xiang
其他作者: Kim, Wangdo
格式: Theses and Dissertations
出版: 2008
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在線閱讀:https://hdl.handle.net/10356/6554
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機構: Nanyang Technological University
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spelling sg-ntu-dr.10356-65542023-03-11T17:37:22Z 3D surface characterization and localization of anatomical landmarks Liu, Xiang Kim, Wangdo School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics This study presents a method for extracting anatomical landmarks on the surface from measured data by way of local shape analysis. In order to delineate the distortion of the anatomical structure’s surface, a 3D representation by differential geometry is used. The surface was scanned by a 3D non-contact laser scanner and curvatures were calculated from the acquired coordinates. The curvature maps were plotted and several manifest landmarks and structures were identified because of their pronounced curvature characteristics on the curvature maps. The accuracy and error of the curvature calculation were also studied. A novel approach of localizing anatomical landmarks was proposed. The proposed method is applied in the following clinical areas: (a) measure the angle of tibial torsion objectively and reproducibly (b) predict tibial nail length required in the surgery objectively (c) monitor the depth, area, and volume changes of ulcers on the foot and leg. DOCTOR OF PHILOSOPHY (MAE) 2008-09-17T11:17:52Z 2008-09-17T11:17:52Z 2006 2006 Thesis Liu, X. (2006). 3D surface characterization and localization of anatomical landmarks. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/6554 10.32657/10356/6554 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::Mechanical engineering::Mechanics and dynamics
spellingShingle DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics
Liu, Xiang
3D surface characterization and localization of anatomical landmarks
description This study presents a method for extracting anatomical landmarks on the surface from measured data by way of local shape analysis. In order to delineate the distortion of the anatomical structure’s surface, a 3D representation by differential geometry is used. The surface was scanned by a 3D non-contact laser scanner and curvatures were calculated from the acquired coordinates. The curvature maps were plotted and several manifest landmarks and structures were identified because of their pronounced curvature characteristics on the curvature maps. The accuracy and error of the curvature calculation were also studied. A novel approach of localizing anatomical landmarks was proposed. The proposed method is applied in the following clinical areas: (a) measure the angle of tibial torsion objectively and reproducibly (b) predict tibial nail length required in the surgery objectively (c) monitor the depth, area, and volume changes of ulcers on the foot and leg.
author2 Kim, Wangdo
author_facet Kim, Wangdo
Liu, Xiang
format Theses and Dissertations
author Liu, Xiang
author_sort Liu, Xiang
title 3D surface characterization and localization of anatomical landmarks
title_short 3D surface characterization and localization of anatomical landmarks
title_full 3D surface characterization and localization of anatomical landmarks
title_fullStr 3D surface characterization and localization of anatomical landmarks
title_full_unstemmed 3D surface characterization and localization of anatomical landmarks
title_sort 3d surface characterization and localization of anatomical landmarks
publishDate 2008
url https://hdl.handle.net/10356/6554
_version_ 1761781726491705344