July 12, 2012 - 1:00pm EDT
Siamak Ardekani, MD, PhD,
Assistant Research Scientist,
Center for Imaging Science and Institute for Computational Medicine,
The Johns Hopkins University
Title: "Identifying structural and functional remodeling in cardiovascular disease using computational anatomy"
View: (Archived Webinar Recording)
Cardiac disease is often associated with remodeling, a complex process during which myocardium undergoes structural and functional changes in response to injury. Structural changes that occur during the remodeling usually lead to a progressive decline in ventricular performance. Therefore, identifying and characterizing the remodeling process at the early stage can potentially assist clinicians to design better treatment strategies, reversing the remodeling and ultimately improving ventricular function. Computational functional anatomy is an emerging discipline that focuses on studying anatomical configuration and function using mathematical models. In this webinar, I will briefly present some of the imaging-based computational anatomy tools that can be used to study shape and function variation in cardiac disease.
Siamak Ardekani is an MD- and PhD-trained researcher in Biomedical Imaging. He undertook his doctoral training at the University of California, Los Angeles, where he worked on creating a diffusion tensor based MRI atlas and studying the effect of normal aging in the brain. After completing postdoctral training in the laboratory of Dr. Raimond Winslow at The Johns Hopkins University, he joined Center for Imaging Science as a research faculty. His current research focuses on developing and implementing imaging-based quantitative tools to identify cardiac shape and motion markers, to distinguish cardiac disease at early stage and predict the outcome.