Title :
Vessel Boundary Detection for its 3D Reconstruction by Using a Deformable Model (GVF Snake)
Author :
Kim, H.C. ; Kim, H.R. ; Ahn, C.B. ; Jeong, G.S. ; Kim, M.G. ; Sun, K.
Author_Institution :
Biomed. Sci. of Brain Korea 21, Korea Univ., Seoul
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
Keywords :
blood vessels; edge detection; image reconstruction; medical image processing; virtual reality; 3D reconstruction; GVF Snake; deformable model; microvasculature inflammation; microvasculature structure; vessel boundary detection; virtual vessel model; Biomedical engineering; Biomedical imaging; Cardiology; Deformable models; Educational institutions; Equations; Image reconstruction; Image segmentation; Sun; Tracking; 3D reconstruction; deformable model; gradient vector flow; snakes; vessel boundary detection;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617218
