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My professional research interests are in the fields of physics and instrumentation and their application to medical imaging. My area of specialization incorporates the study of mathematical physics related to modeling image formation and the use of modeling to more accurately interpret function of systems in medicine and biology with special emphasis on cardiac imaging. My research interests involve the application of inverse problems to image internal structure and function of biological and non-biological systems and I have sought to integrate strengths from diverse disciplines to bring new solutions in my field. Working in both industry and academia, I have experience as a supervisor and manager. I have many years of experience in algorithm development for tomographic applications in medical imaging. I have directed research teams that have demonstrated an outstanding track record with significant experience in SPECT, PET, and MRI in modeling imaging physics, in modeling biochemical and biomechanical processes and fitting imaging data to these models, and performing Monte Carlo simulations. Our work has involved the development of electromechanical and kinetic models, algorithms for the reconstruction of finite elements (FEs) from projection measurements, processing of dynamic data using factor analysis, and the development of algorithms for modeling kinetic data in a deforming heart. Using the spontaneous hypertensive rat (SHR) as a model of cardiac left ventricular hypertrophy (LVH), I have worked extensively in studying the effect of LVH on perfusion, glucose and fatty acid metabolism, cardiac innervation, and myocardial fiber structure. We have also demonstrated a correlation of cardiac work with the metabolic rate of glucose in a rat model using simultaneous microPET and MRI imaging and are pursuing the translation of this work to measuring cardiac efficiency in cardiac myopathies.
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PHYSICS IN MEDICINE AND BIOLOGYno. 24 (2023)
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2022)
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