Patient-Specific Echo-Based Left Ventricle Models for Active Contraction and Relaxation Using Different Zero-Load Diastole and Systole Geometries

Author:

Fan Longling1,Yao Jing2,Yang Chun3,Xu Di2,Tang Dalin14

Affiliation:

1. School of Mathematics, Southeast University, Nanjing 210096, P. R. China

2. Department of Cardiology, Nanjing Medical University, Nanjing 210029, P. R. China

3. China Information Tech. Designing & Consulting Institute Co., Ltd., Beijing 100048, P. R. China

4. Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA 01609, USA

Abstract

A new modeling approach using two different zero-load geometries (diastole and systole) was introduced to properly model active contraction and relaxation for more accurate stress/strain calculations. Ventricle diastole and systole material parameter values were also determined based on in vivo data. Echo-based computational two-layer left ventricle (LV) models using one zero-load geometry (1G) and two zero-load geometries (2G) were constructed. Material parameter values in Mooney–Rivlin models were also adjusted to match echo LV volume data. Effective Young’s moduli (YM) were calculated for ventricle materials for easy comparison. The 2G models may lead to more accurate ventricle stress/strain calculations and material parameter value estimations.

Funder

National Sciences Foundation of China grants

Fundamental Research Funds for the Central Universities

Scientific Research Foundation of Graduate School of Southeast University

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Mathematics,Computer Science (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimation of left ventricular parameters based on deep learning method;Mathematical Biosciences and Engineering;2022

2. Preface — Computational Modeling for Cardiovascular Disease and Biological Applications;International Journal of Computational Methods;2019-03-17

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