Image-based modeling for better understanding and assessment of atherosclerotic plaque progression and vulnerability: Data, modeling, validation, uncertainty and predictions

Image-based modeling for better understanding and assessment of atherosclerotic plaque progression and vulnerability: Data, modeling, validation, uncertainty and predictions

Medical imaging and image-based modeling have made considerable progress in recent years in identifying atherosclerotic plaque morphological and mechanical risk factors which may be used in developing improved patient screening strategies. However, a clear understanding is needed about what we have...

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Bibliographic Details
Main Authors: Tang, Dalin, Yang, Chun, Zheng, Jie, Canton, Gador, Bach, Richard, Huang, Xueying, Hatsukami, Thomas S., Zhu, Jian, Ma, Genshan, Maehara, Akiko, Mintz, Gary S., Yuan, Chun, Kamm, Roger Dale
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:en_US
Published: Elsevier 2017
Online Access:http://hdl.handle.net/1721.1/110375
https://orcid.org/0000-0002-7232-304X

Internet

http://hdl.handle.net/1721.1/110375
https://orcid.org/0000-0002-7232-304X

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