B M Burton1, K K Aras2, W W Good2, J D Tate2, B Zenger2, R S MacLeod2. 1. University of Utah, Department of Bioengineering, Salt Lake City, UT, USA; Scientific Computing and Imaging Institute (SCI), Salt Lake City, UT, USA; Cardiovascular Research & Training Institute (CVRTI), Salt Lake City, UT, USA. Electronic address: bburton@sci.utah.edu. 2. University of Utah, Department of Bioengineering, Salt Lake City, UT, USA; Scientific Computing and Imaging Institute (SCI), Salt Lake City, UT, USA; Cardiovascular Research & Training Institute (CVRTI), Salt Lake City, UT, USA.
Abstract
BACKGROUND: Computational models of myocardial ischemia often use oversimplified ischemic source representations to simulate epicardial potentials. The purpose of this study was to explore the influence of biophysically justified, subject-specific ischemic zone representations on epicardial potentials. METHODS: We developed and implemented an image-based simulation pipeline, using intramural recordings from a canine experimental model to define subject-specific ischemic regions within the heart. Static epicardial potential distributions, reflective of ST segment deviations, were simulated and validated against measured epicardial recordings. RESULTS: Simulated epicardial potential distributions showed strong statistical correlation and visual agreement with measured epicardial potentials. Additionally, we identified and described in what way border zone parameters influence epicardial potential distributions during the ST segment. CONCLUSION: From image-based simulations of myocardial ischemia, we generated subject-specific ischemic sources that accurately replicated epicardial potential distributions. Such models are essential in understanding the underlying mechanisms of the bioelectric fields that arise during ischemia and are the basis for more sophisticated simulations of body surface ECGs.
BACKGROUND: Computational models of myocardial ischemia often use oversimplified ischemic source representations to simulate epicardial potentials. The purpose of this study was to explore the influence of biophysically justified, subject-specific ischemic zone representations on epicardial potentials. METHODS: We developed and implemented an image-based simulation pipeline, using intramural recordings from a canine experimental model to define subject-specific ischemic regions within the heart. Static epicardial potential distributions, reflective of ST segment deviations, were simulated and validated against measured epicardial recordings. RESULTS: Simulated epicardial potential distributions showed strong statistical correlation and visual agreement with measured epicardial potentials. Additionally, we identified and described in what way border zone parameters influence epicardial potential distributions during the ST segment. CONCLUSION: From image-based simulations of myocardial ischemia, we generated subject-specific ischemic sources that accurately replicated epicardial potential distributions. Such models are essential in understanding the underlying mechanisms of the bioelectric fields that arise during ischemia and are the basis for more sophisticated simulations of body surface ECGs.
Authors: R S MacLeod; J G Stinstra; S Lew; R T Whitaker; D J Swenson; M J Cole; J Krüger; D H Brooks; C R Johnson Journal: Philos Trans A Math Phys Eng Sci Date: 2009-06-13 Impact factor: 4.226
Authors: W W Good; B Erem; B Zenger; J Coll-Font; J A Bergquist; D H Brooks; R S MacLeod Journal: Comput Biol Med Date: 2020-10-28 Impact factor: 4.589
Authors: Brian Zenger; Wilson W Good; Jake A Bergquist; Brett M Burton; Jess D Tate; Leo Berkenbile; Vikas Sharma; Rob S MacLeod Journal: Physiol Meas Date: 2020-02-05 Impact factor: 2.833