A computationally efficient formal optimization of regional myocardial contractility in a sheep with left ventricular aneurysm

Kay Sun, Nielen Stander, Choon Sik Jhun, Zhihong Zhang, Takamaro Suzuki, Guan Ying Wang, Maythem Saeed, Arthur W. Wallace, Elaine E. Tseng, Anthony J. Baker, David Saloner, Daniel R. Einstein, Mark B. Ratcliffe, Julius M. Guccione

Research output: Contribution to journalArticlepeer-review

71 Scopus citations

Abstract

A noninvasive method for estimating regional myocardial contractility in vivo would be of great value in the design and evaluation of new surgical and medical strategies to treat and/or prevent infarction-induced heart failure. As a first step toward developing such a method, an explicit finite element (FE) model-based formal optimization of regional myocardial contractility in a sheep with left ventricular (LV) aneurysm was performed using tagged magnetic resonance (MR) images and cardiac catheterization pressures. From the tagged MR images, three-dimensional (3D) myocardial strains, LV volumes, and geometry for the animal-specific 3D FE model of the LV were calculated, while the LV pressures provided physiological loading conditions. Active material parameters (Tmax-B and Tmax-R) in the noninfarcted myocardium adjacent to the aneurysm (border-zone) and in the myocardium remote from the aneurysm were estimated by minimizing the errors between FE model-predicted and measured systolic strains and LV volumes using the successive response surface method for optimization. The significant depression in optimized T max-B relative to Tmax-R was confirmed by direct ex vivo force measurements from skinned fiber preparations. The optimized values of Tmax-B and Tmax-R were not overly sensitive to the passive material parameters specified. The computation time of less than 5 h associated with our proposed method for estimating regional myocardial contractility in vivo makes it a potentially very useful clinical tool.

Original languageEnglish (US)
Article number111001-1
JournalJournal of Biomechanical Engineering
Volume131
Issue number11
DOIs
StatePublished - Nov 2009

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Physiology (medical)

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