Abstract
We propose a new approach for automatically generating individual vessels to 3D(three-dimensional) model. The modeling process is carried out in two steps. The first step consists of selecting automatically two sets of corresponding feature points between standard and individual vessels. In the second step, 3D model of individual vessels is performed by warping with corresponding feature points. The 3D model of vessels provides patients with better and cleaner visualization without extensive training to understand vessels geometry. It saves reviewing time for physicians since 3D model may be performed by a trained technician, and may also help visualize dynamics of the vessels.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brown, B.G., Bolson, E., Frimer, M., Dodge, H.: Quantitative coronary arteriography estimation of dimensions, hemodynamic resistance, and atheroma mass of coronary artery lesions using the arteriogram and digital computation. Circulation 55, 329–337 (1977)
de Feyter, P., Vos, J., Reiber, J., Serruys, P.: Value and limitations of quantitative coronary angiography to assess progression and regression of coronary atherosclerosis. Advances in Quantitative Coronary Arteriography, 255–271 (1993)
Ross, J., et al.: Guidelines for coronary angiography. Circulation 76, 963A-977A (1987)
Levin, D.: Clinical overview of cardiac catheterization procedures: Adult diagnostic procedures. In: 1998 Categorical Course in Diagnostic Radiology Physics: Cardiac catheterization imaging, Oak Brook, IL, pp. 37–45 (1998)
Bookstein, F.L.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE-PAMI 11, 567–585 (1989)
Bentoutou, Y., et al.: An invariant approach for image registration in digital subtraction angiography. Pattern Recognition, 34–48 (2002)
Flusser, J., Suk, T.: Degraded image analysis: an invariant approach. IEEE Trans. Pattern Anal. Mach. Intell, 590–603 (1998)
Venot, A., Lebruchec, J.F., Roucayrol, J.C.: A new class of similarity measures for robust image registration. Comput. Vision Graph. Image Process, 176–184 (1984)
Shi, J., Tomasi, C.: Good features to track. In: IEEE Conference on CVPR Seattle, pp. 593–600 (1994)
Tomasi, C., Kanade, T.: Detection and Tracking of Point Features. Carnegie Mellon University Technical Report CMU-CS-91-132 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, NY., Kim, GY., Choi, HI. (2006). Automatic Generation Technique of Three-Dimensional Model Corresponding to Individual Vessels. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751649_48
Download citation
DOI: https://doi.org/10.1007/11751649_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34079-9
Online ISBN: 978-3-540-34080-5
eBook Packages: Computer ScienceComputer Science (R0)