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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- Appears in
Collections - 2. Clinical Science > Department of Thoracic and Cardiovascular Surgery > 1. Journal Articles
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