Quantification of Cranial Asymmetry in Infants Based on Facial Features

碩士 === 國立清華大學 === 電機工程學系 === 102 === In this thesis, we propose a new method for measuring the asymmetry measurement of cranium in infants. After obtaining the three-dimensional image of the head, we use the covariance analysis to filter the part of head with larger variation of curvature and a two-...

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Main Authors: Li, Wei-Cheng, 李瑋城
Other Authors: Huang, Chung-Lin
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/07455848611157387358
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spelling ndltd-TW-102NTHU54420272015-10-13T22:57:41Z http://ndltd.ncl.edu.tw/handle/07455848611157387358 Quantification of Cranial Asymmetry in Infants Based on Facial Features 根據臉部特徵量化嬰兒頭顱之不對稱性 Li, Wei-Cheng 李瑋城 碩士 國立清華大學 電機工程學系 102 In this thesis, we propose a new method for measuring the asymmetry measurement of cranium in infants. After obtaining the three-dimensional image of the head, we use the covariance analysis to filter the part of head with larger variation of curvature and a two-phase K-means classification to differentiate those parts. With the help of the geometric relationship of the cluster centers, we can locate the facial organs. Therefore, based on the locations of facial organs, we first rotate the three-dimensional head images to a common frontal orientation and then use the ICP algorithm for the fine registration. All the three-dimensional head images can be aligned to the same benchmark. Finally, we will find a sagittal plan to generate a mirrored head image. We use the head image before treatment compare with the mirrored image and after treatment, and estimating the asymmetric assessment. The experiment results, deformation parts displaying and volume calculating, demonstrate the feasibility of the proposed method. Huang, Chung-Lin Lin, Chia-Wen 黃仲陵 林嘉文 2013 學位論文 ; thesis 46 en_US
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language en_US
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description 碩士 === 國立清華大學 === 電機工程學系 === 102 === In this thesis, we propose a new method for measuring the asymmetry measurement of cranium in infants. After obtaining the three-dimensional image of the head, we use the covariance analysis to filter the part of head with larger variation of curvature and a two-phase K-means classification to differentiate those parts. With the help of the geometric relationship of the cluster centers, we can locate the facial organs. Therefore, based on the locations of facial organs, we first rotate the three-dimensional head images to a common frontal orientation and then use the ICP algorithm for the fine registration. All the three-dimensional head images can be aligned to the same benchmark. Finally, we will find a sagittal plan to generate a mirrored head image. We use the head image before treatment compare with the mirrored image and after treatment, and estimating the asymmetric assessment. The experiment results, deformation parts displaying and volume calculating, demonstrate the feasibility of the proposed method.
author2 Huang, Chung-Lin
author_facet Huang, Chung-Lin
Li, Wei-Cheng
李瑋城
author Li, Wei-Cheng
李瑋城
spellingShingle Li, Wei-Cheng
李瑋城
Quantification of Cranial Asymmetry in Infants Based on Facial Features
author_sort Li, Wei-Cheng
title Quantification of Cranial Asymmetry in Infants Based on Facial Features
title_short Quantification of Cranial Asymmetry in Infants Based on Facial Features
title_full Quantification of Cranial Asymmetry in Infants Based on Facial Features
title_fullStr Quantification of Cranial Asymmetry in Infants Based on Facial Features
title_full_unstemmed Quantification of Cranial Asymmetry in Infants Based on Facial Features
title_sort quantification of cranial asymmetry in infants based on facial features
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/07455848611157387358
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