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Vessel boundary detection for its 3D reconstruction by using a deformable model (GVF Snake)

Authors
Kim H.C.Kim H.R.Ahn C.B.Jeong G.S.Kim M.G.Sun K.
Issue Date
2005
Keywords
3D reconstruction; Deformable model; Gradient vector flow; Snakes; Vessel boundary detection
Citation
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, v.7 VOLS, pp 3440 - 3443
Pages
4
Indexed
SCOPUS
Journal Title
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume
7 VOLS
Start Page
3440
End Page
3443
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/32098
ISSN
0589-1019
Abstract
Vessel boundary detection and 3D modeling is a difficult but necessary task in analyzing the mechanics of inflammation and the structure of the microvasculature. We present in this paper a method of analyzing this structure by the means of the deformable model (using GVF Snake) for vessel boundary detection and three-dimensional reconstruction. For this purpose, we used a virtual vessel model and produced synthetic images. From these images, we obtained contours of vessels by the GVF Snake and then reconstructed a three-dimensional structure by using the coordinates of the Snakes. © 2005 IEEE.
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2. Clinical Science > Department of Thoracic and Cardiovascular Surgery > 1. Journal Articles

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Anam Hospital (Department of Thoracic and Cardiovascular Surgery, Anam Hospital)
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