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ABSTRACT
Intravascular Ultrasound (IVUS)-Based Computational Modeling and Planar Biaxial Artery Material Properties for Human Coronary Plaque Vulnerability Assessment
The International Conference on Computational & Experimental Engineering and Sciences 2011, 19(4), 97-104. https://doi.org/10.3970/icces.2011.019.097
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Image-based computational modeling has been introduced for vulnerable atherosclerotic plaques to identify critical mechanical conditions which may be used for better risk assessment and rupture predictions. In vivo patient-specific coronary plaque models are lagging due to limitations on non-invasive image resolution, flow data, and vessel material properties. We propose a procedure where intravascular ultrasound (IVUS) imaging, biaxial mechanical testing and computational modeling are combined together to acquire better and more complete plaque data and make more accurate plaque vulnerability assessment and predictions.Keywords
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APA Style
Cai, M., Yang, C., Kural, M.H., Bach, R., Muccigrosso, D. et al. (2011). Intravascular ultrasound (ivus)-based computational modeling and planar biaxial artery material properties for human coronary plaque vulnerability assessment. The International Conference on Computational & Experimental Engineering and Sciences, 19(4), 97-104. https://doi.org/10.3970/icces.2011.019.097
Vancouver Style
Cai M, Yang C, Kural MH, Bach R, Muccigrosso D, Yang D, et al. Intravascular ultrasound (ivus)-based computational modeling and planar biaxial artery material properties for human coronary plaque vulnerability assessment. Int Conf Comput Exp Eng Sciences . 2011;19(4):97-104 https://doi.org/10.3970/icces.2011.019.097
IEEE Style
M. Cai et al., “Intravascular Ultrasound (IVUS)-Based Computational Modeling and Planar Biaxial Artery Material Properties for Human Coronary Plaque Vulnerability Assessment,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 19, no. 4, pp. 97-104, 2011. https://doi.org/10.3970/icces.2011.019.097
Copyright © 2011 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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