A Multimodality Image-Based Fluid-Structure Interaction Modeling Approach for Prediction of Coronary Plaque Progression Using IVUS and Optical Coherence Tomography Data With Follow-Up.

Guo, Xiaoya; Giddens, Don P; Molony, David; Yang, Chun; Samady, Habib; Zheng, Jie; Matsumura, Mitsuaki; Mintz, Gary S; Maehara, Akiko; Wang, Liang; Tang, Dalin

Guo, Xiaoya; Giddens, Don P; Molony, David; Yang, Chun; Samady, Habib; Zheng, Jie; Matsumura, Mitsuaki; Mintz, Gary S; Maehara, Akiko; Wang, Liang; Tang, Dalin.

Affiliation

Guo X; Department of Mathematics,Southeast University,Nanjing 210096, China.
Giddens DP; Department of Medicine,School of Medicine,Emory University,Atlanta, GA 30307.
Molony D; The Wallace H. Coulter Departmentof Biomedical Engineering,Georgia Institute of Technology,Atlanta, GA 30332.
Yang C; Department of Medicine,School of Medicine,Emory University,Atlanta, GA 30307.
Samady H; Mathematical Sciences Department,Worcester Polytechnic Institute,Worcester, MA 01609.
Zheng J; Department of Medicine,School of Medicine,Emory University,Atlanta, GA 30307.
Matsumura M; Mallinckrodt Institute of Radiology,Washington University,St. Louis, MO 63110.
Mintz GS; The Cardiovascular Research Foundation,Columbia University,New York, NY 10022.
Maehara A; The Cardiovascular Research Foundation,Columbia University,New York, NY 10022.
Wang L; The Cardiovascular Research Foundation,Columbia University,New York, NY 10022.
Tang D; Mathematical Sciences Department,Worcester Polytechnic Institute,Worcester, MA 01609.

J Biomech Eng ; 141(9)2019 Sep 01.

Article in En | MEDLINE | ID: mdl-31141591

Key words

FSI; IVUS; OCT; patient-specific model; plaque progression; vulnerable plaque

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Biomech Eng Year: 2019 Type: Article Affiliation country: China

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