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

75 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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