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18 September 2001 Parametrical model of vessel cross-section reconstruction based on elasticity quality
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Proceedings Volume 4549, Medical Image Acquisition and Processing; (2001)
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
As an extremely important part of vessel's three-dimensional reconstruction, the vessel cross-section's reconstruction has been incisively researched around the world. Up to now, most of the reconstruction methods use circle or ellipse vessel cross-section as prior information model and search optimal cross-section contour with complex arithmetic. Most researchers have paid little attention to exploiting the vessel's elasticity qualities, which virtually can bring many advantages to the whole reconstruction process. Based on this viewpoint, a novel parametrical model of vessel cross-section is presented using vessel's elasticity qualities in this paper. Sufficient experiments have been made to test the effects of the elasticity model. These results indicate that the parametrical model can excellently describe the various real vessel's cross-section contour by controlling these limited parameters. For instance, when ten parameters are adopted, the model's reconstruction error can be reduced to 2.5%. The study of the elasticity model is quite promising in many aspects of 3D reconstruction of vessel, and the model's further application potential is apparent.
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Yong Wang, Xuanqin Mou, Hengyong Yu, and Yuanlong Cai "Parametrical model of vessel cross-section reconstruction based on elasticity quality", Proc. SPIE 4549, Medical Image Acquisition and Processing, (18 September 2001);

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