Abstract
In this paper, we propose a method for 3D (three-dimensional) modeling of individual vessels based on matching of adaptive control points to help accurately locate a disease such as arteriosclerosis. The proposed method consists of two steps: matching of corresponding control points between standard and individual vessels model, and transformation of standard vessels model. In the first step, control points are adaptively interpolated in the corresponding standard vessels image in proportion to the distance ratio if there were control points between two corner points in an individual vessels model. And then, the control points of corresponding individual vessels model matches with those of standard vessels model. In the second step, the TPS (Thin Plate Spline) interpolation function is used to modify the standard into the individual vessels model. In the experiments, we used patient angiograms from the coronary angiography in Sanggye Paik Hospital.
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References
Lorenz, C., Renisch, S., Schlatholter, S., Bulow, T.: SPIE, Simultaneous Segmentation and Tree Reconstruction of the Coronary Arteries in MSCT Images. In: Proc. SPIE Int. Symposium Medical Imaging, vol. 5032, pp. 167–177 (2003)
Lee, N.Y., Kim, G.Y., Choi, H.I.: Automatic Generation Technique of Three-Dimensional Model Corresponding to Individual Vessels. In: Gavrilova, M., Gervasi, O., Kumar, V., Tan, C.J.K., Taniar, D., Laganà, A., Mun, Y., Choo, H. (eds.) ICCSA 2006. LNCS, vol. 3984, pp. 441–449. Springer, Heidelberg (2006)
Harris, C., Stephens, M.: A Combined Corner and Edge Detector. In: Proceedings of the Fourth Alvey Vision Conference, Manchester, pp. 147–151 (1988)
Shi, J., Tomasi, C.: Good features to track. In: IEEE Conference on CVPR Seattle, pp. 593–600 (1994)
Bentoutou, Y., et al.: An invariant approach for image registration in digital subtraction angiography. Pattern Recognition, 34–48 (2002)
Schmid, C., Mohr, R., Bauckhage, C.: Evaluation of interest point detectors. International Journal of Computer Vision, 151–172 (2000)
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)
Bookstein, F.L.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE-PAMI 11, 567–585 (1989)
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 (1998)
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Lee, NY. (2007). Three Dimensional Modeling of Individual Vessels Based on Matching of Adaptive Control Points. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_109
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DOI: https://doi.org/10.1007/978-3-540-76631-5_109
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76630-8
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