A Sequential Boundary Detection Algorithm for 3D Reconstruction of Ultrasound Image

碩士 === 國立臺灣大學 === 電機工程學系研究所 === 86 === Although 3D ultrasound imaging is nowadays providing many successful applications, particularly in displaying fetal and vascular anatomy, it is still difficult to do boundary detection accurately for other applicatio...

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Main Authors: Ku, Bowen, 古博文
Other Authors: Jenho Tsao
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/28781350616386106546
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spelling ndltd-TW-086NTU004420372016-06-29T04:13:46Z http://ndltd.ncl.edu.tw/handle/28781350616386106546 A Sequential Boundary Detection Algorithm for 3D Reconstruction of Ultrasound Image 適合超音波三度空間重整的連續邊界偵測演算法 Ku, Bowen 古博文 碩士 國立臺灣大學 電機工程學系研究所 86 Although 3D ultrasound imaging is nowadays providing many successful applications, particularly in displaying fetal and vascular anatomy, it is still difficult to do boundary detection accurately for other applications, which results in incorrect shape of target tissue. We propose an algorithm which can detect the boundary of target tissue from sequentially scanned images. The algorithm is implemented in seven steps: (1) operator initialization; (2) corners linking; (3) correction of the initial boundary; (4) correction smoothing; (5) boundary linking; (6) linkage checking; and (7) corners searching then step 2 for incoming image. To keep the linkage of the boundary, our strategy is polygon approximation. We also emphasize the utilization of temporal and spatial information. We give some simulation and clinical experience to check the performance of the algorithm, and get good results. Jenho Tsao 曹建和 --- 1998 學位論文 ; thesis 128 zh-TW
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description 碩士 === 國立臺灣大學 === 電機工程學系研究所 === 86 === Although 3D ultrasound imaging is nowadays providing many successful applications, particularly in displaying fetal and vascular anatomy, it is still difficult to do boundary detection accurately for other applications, which results in incorrect shape of target tissue. We propose an algorithm which can detect the boundary of target tissue from sequentially scanned images. The algorithm is implemented in seven steps: (1) operator initialization; (2) corners linking; (3) correction of the initial boundary; (4) correction smoothing; (5) boundary linking; (6) linkage checking; and (7) corners searching then step 2 for incoming image. To keep the linkage of the boundary, our strategy is polygon approximation. We also emphasize the utilization of temporal and spatial information. We give some simulation and clinical experience to check the performance of the algorithm, and get good results.
author2 Jenho Tsao
author_facet Jenho Tsao
Ku, Bowen
古博文
author Ku, Bowen
古博文
spellingShingle Ku, Bowen
古博文
A Sequential Boundary Detection Algorithm for 3D Reconstruction of Ultrasound Image
author_sort Ku, Bowen
title A Sequential Boundary Detection Algorithm for 3D Reconstruction of Ultrasound Image
title_short A Sequential Boundary Detection Algorithm for 3D Reconstruction of Ultrasound Image
title_full A Sequential Boundary Detection Algorithm for 3D Reconstruction of Ultrasound Image
title_fullStr A Sequential Boundary Detection Algorithm for 3D Reconstruction of Ultrasound Image
title_full_unstemmed A Sequential Boundary Detection Algorithm for 3D Reconstruction of Ultrasound Image
title_sort sequential boundary detection algorithm for 3d reconstruction of ultrasound image
publishDate 1998
url http://ndltd.ncl.edu.tw/handle/28781350616386106546
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