Work

Multi-factor decision-making strategy for better coronary plaque burden increase prediction: a patient-specific 3D FSI study using IVUS follow-up data

Year: 2019

Type: article

Source: Biomechanics and Modeling in Mechanobiology

DOI: 10.1007/s10237-019-01143-3

Authors: Liang Wang, Dalin Tang, Akiko Maehara, David Molony, Jie Zheng, Habib Samady, Zheyang Wu, Wenbin Lu, Jian Zhu, Genshan Ma, Don P. Giddens, Gregg W. Stone, Gary S. Mintz

Institutions: Worcester Polytechnic Institute, Southeast University, Cardiovascular Research Foundation, Columbia University, Emory University, Washington University in St. Louis, Zhongda Hospital Southeast University, Georgia Institute of Technology, The Wallace H. Coulter Department of Biomedical Engineering

Language: English

Topic: Coronary Interventions and Diagnostics

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Jiangsu Science and Technology Department, National Institute of Biomedical Imaging and Bioengineering

Awards: G3652063094, G5410564536, G5765196456, In Vivo IVUS Image-Based Modeling for Human Coronary Plaque Assessment, G935534782

OpenAlex ID: W2929005396

FWCI: 2.147

Cites: 45

Cited by: 10

Related to: 10