Reconstruct 3-D Model of Great Vessel from Cardiac CT Images
碩士 === 國立交通大學 === 資訊科學系 === 87 === 3D soilid obtained from a set of CT images has many applications. It helps physicians to do diagnosis and allow the surgeons to plan a surgery. In this thesis, we study implement a system to reconstruct the 3D solid from a stack of CT images....
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ndltd-TW-087NCTU03940682016-07-11T04:13:35Z http://ndltd.ncl.edu.tw/handle/95804650942733916451 Reconstruct 3-D Model of Great Vessel from Cardiac CT Images 自心臟CT影像重建大血管之3-D模型 Yu-Sheng Weng 翁育聖 碩士 國立交通大學 資訊科學系 87 3D soilid obtained from a set of CT images has many applications. It helps physicians to do diagnosis and allow the surgeons to plan a surgery. In this thesis, we study implement a system to reconstruct the 3D solid from a stack of CT images. We first extract the boundaries of the area of interest from each CT image. We then connect the boundary by using triangle patches. In order to obtain a set of reasonable triangle patches, we construct to “toroidal graph”. The triangles are obtianed by finding the shortest path in the toroidal graph. We also take advantage of the Delaunay triangles to prevent the existance of the intersection between the triangle patches. In order to solve the one many structure, we implement an user interface system to help physicians to reconstruct the solid. Experiments show that we can find good triangulation in a reasonable computing time. Yu-Tai Ching 荊宇泰 1999 學位論文 ; thesis 37 zh-TW |
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碩士 === 國立交通大學 === 資訊科學系 === 87 === 3D soilid obtained from a set of CT images has many applications. It helps physicians to do diagnosis and allow the surgeons to plan a surgery.
In this thesis, we study implement a system to reconstruct the 3D solid from a stack of CT images. We first extract the boundaries of the area of interest from each CT image. We then connect the boundary by using triangle patches. In order to obtain a set of reasonable triangle patches, we construct to “toroidal graph”. The triangles are obtianed by finding the shortest path in the toroidal graph. We also take advantage of the Delaunay triangles to prevent the existance of the intersection between the triangle patches. In order to solve the one many structure, we implement an user interface system to help physicians to reconstruct the solid. Experiments show that we can find good triangulation in a reasonable computing time.
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author2 |
Yu-Tai Ching |
author_facet |
Yu-Tai Ching Yu-Sheng Weng 翁育聖 |
author |
Yu-Sheng Weng 翁育聖 |
spellingShingle |
Yu-Sheng Weng 翁育聖 Reconstruct 3-D Model of Great Vessel from Cardiac CT Images |
author_sort |
Yu-Sheng Weng |
title |
Reconstruct 3-D Model of Great Vessel from Cardiac CT Images |
title_short |
Reconstruct 3-D Model of Great Vessel from Cardiac CT Images |
title_full |
Reconstruct 3-D Model of Great Vessel from Cardiac CT Images |
title_fullStr |
Reconstruct 3-D Model of Great Vessel from Cardiac CT Images |
title_full_unstemmed |
Reconstruct 3-D Model of Great Vessel from Cardiac CT Images |
title_sort |
reconstruct 3-d model of great vessel from cardiac ct images |
publishDate |
1999 |
url |
http://ndltd.ncl.edu.tw/handle/95804650942733916451 |
work_keys_str_mv |
AT yushengweng reconstruct3dmodelofgreatvesselfromcardiacctimages AT wēngyùshèng reconstruct3dmodelofgreatvesselfromcardiacctimages AT yushengweng zìxīnzàngctyǐngxiàngzhòngjiàndàxuèguǎnzhī3dmóxíng AT wēngyùshèng zìxīnzàngctyǐngxiàngzhòngjiàndàxuèguǎnzhī3dmóxíng |
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1718343442120048640 |