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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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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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.
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Jenho Tsao |
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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 |
work_keys_str_mv |
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