Natalia Trayanova, Ph.D. Professor of Biomedical Engineering
Department of Biomedical Engineering
and Institute for Computational Medicine Computational Cardiac Electrophysiology Laboratory
216 Computational Science and Engineering Bldg.
410-516-4375
ntrayanova AT jhu.edu
Website EducationBulgarian Academy of Sciences, Sofia, Bulgaria, Ph.D. (1986),
Biophysics/Bioengineering
Duke University, Durham, NC, post-doctoral training Research InterestsComputational Cardiac Electrophysiology
Sudden cardiac death, caused by rhythm disturbances in the heart, is a major cause of mortality in the industrialized world. The mission of the Computational Cardiac Electrophysiology Laboratory is to conduct research, by developing cutting-edge computational tools and simulation-experiment approaches, to advance the understanding of the fundamental mechanisms that underlie rhythm disorders in the heart and to uncover better strategies for prevention and treatment of these disorders. Research projects include:
Cardiac Arrhythmias in the Diseased Heart and their
Termination with Electrical Interventions.
The mechanisms by which
arrhythmias are initiated and maintained in the heart under various cardiac
pathologies are not well understood. We create three-dimensional
multi-scale models, from the cellular and sub-cellular to the whole organ,
of electrical activity in the normal and diseased heart in order to dissect
these mechanisms and suggest better approaches for termination of lethal
rhythm disturbances. We work on optimizing the clinical procedure of
defibrillation and research alternative low-voltage strategies for
arrhythmia termination. We also conduct active research on understanding
the role of mechano-electric feedback in the heart in arrhythmogenesis and
defibrillation.
Cardiac Microstructure Models from Various Imaging
Modalities.
We construct mirco-anatomical models of the heart from various
imaging modalities, such as high-resolution MRI, diffusion-tensor MRI,
optical coherence tomography, etc. The development of these models allows
us to explore how cardiac micro-anatomy in the normal and diseased heart
contributes to the generation of cardiac arrhythmias. These models also are
invaluable tools in exploring issues related to the understanding of
infarction and remodeling in the diseased heart, as well as in optimizing
ablation and cardiac resynchronization therapy.
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