Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Autor: Wang L; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.; Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, USA., Tang D; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.; Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, USA., Maehara A; The Cardiovascular Research Foundation, Columbia University, New York, NY, USA., Wu Z; Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, USA., Yang C; Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, USA., Muccigrosso D; Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA., Matsumura M; The Cardiovascular Research Foundation, Columbia University, New York, NY, USA., Zheng J; Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA., Bach R; Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA., Billiar KL; Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA., Stone GW; The Cardiovascular Research Foundation, Columbia University, New York, NY, USA., Mintz GS; The Cardiovascular Research Foundation, Columbia University, New York, NY, USA.

Publikováno v: Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2020 Nov; Vol. 23 (15), pp. 1267-1276. Date of Electronic Publication: 2020 Jul 22.

Fluid-structure interaction models based on patient-specific IVUS at baseline and follow-up for prediction of coronary plaque progression by morphological and biomechanical factors: A preliminary study.

Autor: Wang L; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; Mathematical Sciences Department, Worcester Polytechnic Institute, MA, USA., Tang D; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; Mathematical Sciences Department, Worcester Polytechnic Institute, MA, USA. Electronic address: dtang@wpi.edu., Maehara A; Columbia University, The Cardiovascular Research Foundation, NY, NY, USA., Wu Z; Mathematical Sciences Department, Worcester Polytechnic Institute, MA, USA., Yang C; Mathematical Sciences Department, Worcester Polytechnic Institute, MA, USA., Muccigrosso D; Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA., Zheng J; Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA., Bach R; Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA., Billiar KL; Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA., Mintz GS; Columbia University, The Cardiovascular Research Foundation, NY, NY, USA.

Publikováno v: Journal of biomechanics [J Biomech] 2018 Feb 08; Vol. 68, pp. 43-50. Date of Electronic Publication: 2017 Dec 15.

A non-contrast CMR index for assessing myocardial fibrosis.

Autor: Yin Q; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Tangdu Hospital, Xi'an, Shaanxi Province, China., Abendschein D; Center for Cardiovascular Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA., Muccigrosso D; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA., O'Connor R; NIDDK, National Institutes of Health, Bethesda, MD, USA., Goldstein T; Department of Computer Science, University of Maryland, College Park, MD, USA., Chen R; APT Therapeutics Inc., 4041 Forest Park Avenue, St. Louis, MO, USA., Zheng J; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: zhengj@mir.wustl.edu.

Publikováno v: Magnetic resonance imaging [Magn Reson Imaging] 2017 Oct; Vol. 42, pp. 69-73. Date of Electronic Publication: 2017 Apr 28.

3D MRI-based multicomponent thin layer structure only plaque models for atherosclerotic plaques.

Autor: Huang X; School of Mathematical Sciences, Xiamen University, Xiamen, Fujian 361005, China; Fujian Provincial Key Laboratory of Mathematical Modeling and High-Performance Scientific Computation, Xiamen University, Xiamen, Fujian 361005 China; Department of Mathematical Sciences, Worcester Polytechnic Institute, MA 01609, USA. Electronic address: xhuang@xmu.edu.cn., Yang C; Department of Mathematical Sciences, Worcester Polytechnic Institute, MA 01609, USA; Network Technology Research Institute, China United Network Communications Co., Ltd., Beijing, China., Zheng J; Mallinkcrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA., Bach R; Cardiovascular Division, Washington University, St. Louis, MO 63110, USA., Muccigrosso D; Mallinkcrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA., Woodard PK; Mallinkcrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA., Tang D; Department of Mathematical Sciences, Worcester Polytechnic Institute, MA 01609, USA; School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.

Publikováno v: Journal of biomechanics [J Biomech] 2016 Sep 06; Vol. 49 (13), pp. 2726-2733. Date of Electronic Publication: 2016 Jun 08.

Morphological and Stress Vulnerability Indices for Human Coronary Plaques and Their Correlations with Cap Thickness and Lipid Percent: An IVUS-Based Fluid-Structure Interaction Multi-patient Study.

Autor: Wang L; Mathematical Sciences Department, Worcester Polytechnic Institute, Massachusetts, United States of America., Zheng J; Mallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri, United States of America., Maehara A; The Cardiovascular Research Foundation, New York, New York, United States of America., Yang C; Mathematical Sciences Department, Worcester Polytechnic Institute, Massachusetts, United States of America.; Network Technology Research Institute, China United Network Communications Co., Ltd., Beijing, China., Billiar KL; Biomedical Engineering Department, Worcester Polytechnic Institute, Worcester, Massachusetts, United States of America., Wu Z; Mathematical Sciences Department, Worcester Polytechnic Institute, Massachusetts, United States of America., Bach R; Cardiovascular Division, Washington University School of Medicine, St. Louis, Missouri, United States of America., Muccigrosso D; Mallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri, United States of America., Mintz GS; The Cardiovascular Research Foundation, New York, New York, United States of America., Tang D; Mathematical Sciences Department, Worcester Polytechnic Institute, Massachusetts, United States of America.; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.

Publikováno v: PLoS computational biology [PLoS Comput Biol] 2015 Dec 09; Vol. 11 (12), pp. e1004652. Date of Electronic Publication: 2015 Dec 09 (Print Publication: 2015).