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Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
McDowell, KS; Vadakkumpadan, F; Blake, R; Blauer, J; Plank, G; MacLeod, RS; Trayanova, NA.
Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation.
J Electrocardiol. 2012; 45(6):640-645
Doi: 10.1016/j.jelectrocard.2012.08.005
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- Co-authors Med Uni Graz
- Plank Gernot
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- Abstract:
- Personalized computational cardiac models are emerging as an important tool for studying cardiac arrhythmia mechanisms, and have the potential to become powerful instruments for guiding clinical anti-arrhythmia therapy. In this article, we present the methodology for constructing a patient-specific model of atrial fibrosis as a substrate for atrial fibrillation. The model is constructed from high-resolution late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) images acquired in vivo from a patient suffering from persistent atrial fibrillation, accurately capturing both the patient's atrial geometry and the distribution of the fibrotic regions in the atria. Atrial fiber orientation is estimated using a novel image-based method, and fibrosis is represented in the patient-specific fibrotic regions as incorporating collagenous septa, gap junction remodeling, and myofibroblast proliferation. A proof-of-concept simulation result of reentrant circuits underlying atrial fibrillation in the model of the patient's fibrotic atrium is presented to demonstrate the completion of methodology development.
- Find related publications in this database (using NLM MeSH Indexing)
- Action Potentials -
- Atrial Fibrillation - pathology
- Computer Simulation -
- Fibrosis -
- Heart Atria - pathology
- Heart Conduction System - physiopathology
- Humans -
- Models, Cardiovascular -
- Patient-Centered Care - methods
- Pilot Projects -
- Find related publications in this database (Keywords)
- Patient-specific modeling
- Computational model
- Atrial fibrillation
- Atrial fibrosis