Preliminary specificity study of the Bestel-Clement-Sorine electromechanical model of the heart using parameter calibration from medical images

被引:28
作者
Marchesseau, S. [1 ]
Delingette, H. [1 ]
Sermesant, M. [1 ]
Sorine, M. [2 ]
Rhode, K. [3 ]
Duckett, S. G. [3 ]
Rinaldi, C. A. [3 ]
Razavi, R. [3 ]
Ayache, N. [1 ]
机构
[1] INRIA, Asclepios Res Project, Sophia Antipolis, France
[2] INRIA, Sisyphe Res Project, Rocquencourt, France
[3] Kings Coll London, St Thomas Hosp, Div Imaging Sci & Biomed Engn, London WC2R 2LS, England
基金
英国工程与自然科学研究理事会;
关键词
Computer model; Cardiac mechanics; Specificity analysis; Parameter calibration; FRAMEWORK; PREDICTION; TISSUE;
D O I
10.1016/j.jmbbm.2012.11.021
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Patient-specific cardiac modelling can help in understanding pathophysiology and predict therapy effects. This requires the personalization of the geometry, kinematics, electrophysiology and mechanics. We use the Bestel-Clement-Sorine (BCS) electromechanical model of the heart, which provides reasonable accuracy with a reduced parameter number compared to the available clinical data at the organ level. We propose a preliminary specificity study to determine the relevant global parameters able to differentiate the pathological cases from the healthy controls. To this end, a calibration algorithm on global measurements is developed. This calibration method was tested successfully on 6 volunteers and 2 heart failure cases and enabled to tune up to 7 out of the 14 necessary parameters of the BCS model, from the volume and pressure curves. This specificity study confirmed domain-knowledge that the relaxation rate is impaired in post-myocardial infarction heart failure and the myocardial stiffness is increased in dilated cardiomyopathy heart failures. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:259 / 271
页数:13
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