Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction

Wang, Linwei; Dawoud, Fady; Wong, Ken C. L.; Zhang, Heye; Liu, Huafeng; Lardo, Albert C.; Shi, Peng

doi:10.1007/978-3-642-28326-0_3

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…For instance, these computational models provide a viable means to visualize infarct myocardium in three dimensions and have the potential to provide predictive support for successful ablation procedures. 18 , 51 , 52 Advances leading to improved disease management and therapy planning, as well as outcomes assessment, would have substantial impact on the quality of life in patients with structural heart disease.…”

Section: Discussionmentioning

confidence: 99%

Effects of Fibrosis Morphology on Reentrant Ventricular Tachycardia Inducibility and Simulation Fidelity in Patient-Derived Models

Ringenberg

Deo

Filgueiras-Rama

et al. 2014

Clin Med Insights Cardiol

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Myocardial fibrosis detected via delayed-enhanced magnetic resonance imaging (MRI) has been shown to be a strong indicator for ventricular tachycardia (VT) inducibility. However, little is known regarding how inducibility is affected by the details of the fibrosis extent, morphology, and border zone configuration. The objective of this article is to systematically study the arrhythmogenic effects of fibrosis geometry and extent, specifically on VT inducibility and maintenance. We present a set of methods for constructing patient-specific computational models of human ventricles using in vivo MRI data for patients suffering from hypertension, hypercholesterolemia, and chronic myocardial infarction. Additional synthesized models with morphologically varied extents of fibrosis and gray zone (GZ) distribution were derived to study the alterations in the arrhythmia induction and reentry patterns. Detailed electrophysiological simulations demonstrated that (1) VT morphology was highly dependent on the extent of fibrosis, which acts as a structural substrate, (2) reentry tended to be anchored to the fibrosis edges and showed transmural conduction of activations through narrow channels formed within fibrosis, and (3) increasing the extent of GZ within fibrosis tended to destabilize the structural reentry sites and aggravate the VT as compared to fibrotic regions of the same size and shape but with lower or no GZ. The approach and findings represent a significant step toward patient-specific cardiac modeling as a reliable tool for VT prediction and management of the patient. Sensitivities to approximation nuances in the modeling of structural pathology by image-based reconstruction techniques are also implicated.

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Section: Discussionmentioning

confidence: 99%

Effects of Fibrosis Morphology on Reentrant Ventricular Tachycardia Inducibility and Simulation Fidelity in Patient-Derived Models

Ringenberg

Deo

Filgueiras-Rama

et al. 2014

Clin Med Insights Cardiol

View full text Add to dashboard Cite

show abstract

“…meth. phase SA references 2D tagged phantom NH V P — [ 245 ] 2D tagged phantom GL V P — [ 245 ] 2D tagged human GL V P — [ 246 ] 3D tagged and cine MRI human GL RO-UKF P — [ 247 ] cine MRI and pressure human A — [ 248 ] 2D tagged in silico — [ 241 ] cine MRI pig BCS RO-UKF P, A X [ 249 ] cine MRI human BCS UKF P, A X [ 2...…”

Section: Towards Translation: Data–model Fusionmentioning

confidence: 99%

Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics

et al. 2016

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With heart and cardiovascular diseases continually challenging healthcare systems worldwide, translating basic research on cardiac (patho)physiology into clinical care is essential. Exacerbating this already extensive challenge is the complexity of the heart, relying on its hierarchical structure and function to maintain cardiovascular flow. Computational modelling has been proposed and actively pursued as a tool for accelerating research and translation. Allowing exploration of the relationships between physics, multiscale mechanisms and function, computational modelling provides a platform for improving our understanding of the heart. Further integration of experimental and clinical data through data assimilation and parameter estimation techniques is bringing computational models closer to use in routine clinical practice. This article reviews developments in computational cardiac modelling and how their integration with medical imaging data is providing new pathways for translational cardiac modelling.

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Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction

Cited by 2 publications

References 11 publications

Effects of Fibrosis Morphology on Reentrant Ventricular Tachycardia Inducibility and Simulation Fidelity in Patient-Derived Models

Effects of Fibrosis Morphology on Reentrant Ventricular Tachycardia Inducibility and Simulation Fidelity in Patient-Derived Models

Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics

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