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Proceedings Paper

Identification of vessel contours from three-dimensional magnetic resonance angiograms
Author(s): Yung-Nien Sun; Shu-Chien Huang; Fwn-Jeng Chen; Chin-Yin Yu; Tong-Yee Lee
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Paper Abstract

3D MR angiogram offers a means for visualizing the entire cerebral vessels from any orientation and for detecting the stenotic lesions. In this paper we proposed a new 3D tracking method for reconstructing cerebral vessels from MR angiograms. Then, based on the image analysis and visualization results of the vessel trees, various important information can be computed. In vessel extraction, an urchin tracking technique is proposed to extract each segment of the vessel trees. The behaviors of the urchin including pinpricks growing, moving, and sub-urchin generation are designed and implement. Our scheme is also capable of handling the problem of the vessel bifurcation. In vessel display, semi-boundary technique was employed. The system performed in the vessel extraction takes roughly 15 seconds on a PC Pentium 166 for a 256 X 256 X 60 8-bits 3D angiogram. Compared with conventional methods, we proposed a fast and stable method to obtain the 3D vessel trees.

Paper Details

Date Published: 21 May 1999
PDF: 8 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348587
Show Author Affiliations
Yung-Nien Sun, National Cheng Kung Univ. (Taiwan)
Shu-Chien Huang, National Cheng Kung Univ. (Taiwan)
Fwn-Jeng Chen, National Cheng Kung Univ. (Taiwan)
Chin-Yin Yu, National Cheng Kung Hospital (Taiwan)
Tong-Yee Lee, National Cheng Kung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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