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 ( and ) in the noninfarcted myocardium adjacent to the aneurysm (borderzone) 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 relative to was confirmed by direct ex vivo force measurements from skinned fiber preparations. The optimized values of and 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.
Skip Nav Destination
Article navigation
November 2009
Research Papers
A Computationally Efficient Formal Optimization of Regional Myocardial Contractility in a Sheep With Left Ventricular Aneurysm
Kay Sun,
Kay Sun
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Nielen Stander,
Nielen Stander
Livermore Software Technology Corporation
, Livermore, CA
Search for other works by this author on:
Choon-Sik Jhun,
Choon-Sik Jhun
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Zhihong Zhang,
Zhihong Zhang
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Takamaro Suzuki,
Takamaro Suzuki
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Guan-Ying Wang,
Guan-Ying Wang
Department of Radiology,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Maythem Saeed,
Maythem Saeed
Department of Radiology,
University of California
, San Francisco, CA
Search for other works by this author on:
Arthur W. Wallace,
Arthur W. Wallace
Department of Anesthesia,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Elaine E. Tseng,
Elaine E. Tseng
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Anthony J. Baker,
Anthony J. Baker
Department of Radiology,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
David Saloner,
David Saloner
Department of Radiology,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Daniel R. Einstein,
Daniel R. Einstein
Biological Monitoring and Modeling,
Pacific Northwest National Laboratory
, Olympia, WA
Search for other works by this author on:
Mark B. Ratcliffe,
Mark B. Ratcliffe
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Julius M. Guccione
Julius M. Guccione
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Search for other works by this author on:
Kay Sun
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Nielen Stander
Livermore Software Technology Corporation
, Livermore, CA
Choon-Sik Jhun
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Zhihong Zhang
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Takamaro Suzuki
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Guan-Ying Wang
Department of Radiology,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Maythem Saeed
Department of Radiology,
University of California
, San Francisco, CA
Arthur W. Wallace
Department of Anesthesia,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Elaine E. Tseng
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Anthony J. Baker
Department of Radiology,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
David Saloner
Department of Radiology,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Daniel R. Einstein
Biological Monitoring and Modeling,
Pacific Northwest National Laboratory
, Olympia, WA
Mark B. Ratcliffe
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CA
Julius M. Guccione
Department of Surgery,
University of California
, San Francisco, CA; Department of Veterans Affairs Medical Center
, San Francisco, CAJ Biomech Eng. Nov 2009, 131(11): 111001 (10 pages)
Published Online: October 16, 2009
Article history
Received:
August 20, 2008
Revised:
April 12, 2009
Published:
October 16, 2009
Citation
Sun, K., Stander, N., Jhun, C., Zhang, Z., Suzuki, T., Wang, G., Saeed, M., Wallace, A. W., Tseng, E. E., Baker, A. J., Saloner, D., Einstein, D. R., Ratcliffe, M. B., and Guccione, J. M. (October 16, 2009). "A Computationally Efficient Formal Optimization of Regional Myocardial Contractility in a Sheep With Left Ventricular Aneurysm." ASME. J Biomech Eng. November 2009; 131(11): 111001. https://doi.org/10.1115/1.3148464
Download citation file:
Get Email Alerts
Simultaneous Prediction of Multiple Unmeasured Muscle Activations Through Synergy Extrapolation
J Biomech Eng (March 2025)
Quantification of Internal Disc Strain Under Dynamic Loading Via High-Frequency Ultrasound
J Biomech Eng (March 2025)
Related Articles
Simulated Bioprosthetic Heart Valve Deformation under Quasi-Static Loading
J Biomech Eng (November,2005)
Automated Methodology for Determination of Stress Distribution in Human Abdominal Aortic Aneurysm
J Biomech Eng (October,2005)
Porohyperelastic Finite Element Modeling of Abdominal Aortic Aneurysms
J Biomech Eng (October,2010)
Simulation of Physiological Loading in Total Hip Replacements
J Biomech Eng (August,2006)
Related Proceedings Papers
Related Chapters
Meshless Methods for Full Field Displacement and Strain Measurement
Advances in Computers and Information in Engineering Research, Volume 1
Traffic Monitoring Using Strain Measurements and Neural Networks
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
Introduction
Modified Detrended Fluctuation Analysis (mDFA)