3D reconstruction of the prostate from the tansrectal ultrasound images

碩士 === 國立成功大學 === 電機工程研究所 === 82 === In this thesis, a 3-dimension reconstruction method is developed to produce the 3D shading image of the prostate from a series of 2-dimensional transrectal ultrasound images. In the method, a pyramid-bas...

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Main Authors: Hong-Bor Hsieh, 謝宏博
Other Authors: Chin-Hsing Chen,Jao-Yen Lee       
Format: Others
Language:en_US
Published: 1994
Online Access:http://ndltd.ncl.edu.tw/handle/41215574053769662186
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spelling ndltd-TW-082NCKU04420642015-10-13T15:36:51Z http://ndltd.ncl.edu.tw/handle/41215574053769662186 3D reconstruction of the prostate from the tansrectal ultrasound images 利用經直腸超音波影像之前列腺立體重建o Hong-Bor Hsieh 謝宏博 碩士 國立成功大學 電機工程研究所 82 In this thesis, a 3-dimension reconstruction method is developed to produce the 3D shading image of the prostate from a series of 2-dimensional transrectal ultrasound images. In the method, a pyramid-based smoothing operation is introduced to reduce the resolution and enhance the homogeneity of the ultrasound images. Then the matched filter segmentation technique was emlopyed to identify the contour of the prostate. For images of poor quality, the contours of the prostate are predicted from the contours which have been obtained. After obtaining a series of 2D contours, we use the Hermit surface approach to interpolate the spatial data to reconstruct 3D object's surface. Finally, the diffuse reflection and Grourand shading is used to create the depth effect of 3D images of the prostate. 3D spatial structure information of the prostate is very contributive to physicians in the clinical diagnosis or surgical applications. Chin-Hsing Chen,Jao-Yen Lee        陳進興,李肇嚴 1994 學位論文 ; thesis 60 en_US
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language en_US
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description 碩士 === 國立成功大學 === 電機工程研究所 === 82 === In this thesis, a 3-dimension reconstruction method is developed to produce the 3D shading image of the prostate from a series of 2-dimensional transrectal ultrasound images. In the method, a pyramid-based smoothing operation is introduced to reduce the resolution and enhance the homogeneity of the ultrasound images. Then the matched filter segmentation technique was emlopyed to identify the contour of the prostate. For images of poor quality, the contours of the prostate are predicted from the contours which have been obtained. After obtaining a series of 2D contours, we use the Hermit surface approach to interpolate the spatial data to reconstruct 3D object's surface. Finally, the diffuse reflection and Grourand shading is used to create the depth effect of 3D images of the prostate. 3D spatial structure information of the prostate is very contributive to physicians in the clinical diagnosis or surgical applications.
author2 Chin-Hsing Chen,Jao-Yen Lee       
author_facet Chin-Hsing Chen,Jao-Yen Lee       
Hong-Bor Hsieh
謝宏博
author Hong-Bor Hsieh
謝宏博
spellingShingle Hong-Bor Hsieh
謝宏博
3D reconstruction of the prostate from the tansrectal ultrasound images
author_sort Hong-Bor Hsieh
title 3D reconstruction of the prostate from the tansrectal ultrasound images
title_short 3D reconstruction of the prostate from the tansrectal ultrasound images
title_full 3D reconstruction of the prostate from the tansrectal ultrasound images
title_fullStr 3D reconstruction of the prostate from the tansrectal ultrasound images
title_full_unstemmed 3D reconstruction of the prostate from the tansrectal ultrasound images
title_sort 3d reconstruction of the prostate from the tansrectal ultrasound images
publishDate 1994
url http://ndltd.ncl.edu.tw/handle/41215574053769662186
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