Levich Institute Seminar Announcement, 10/21/2014
Tuesday, 10/21/2014
2:00 PM
Steinman Hall, Room #312
(Chemical Engineering Conference Room)

Dr. Saikiran Rapaka
Siemens Corporate Technology
Princeton, New Jersey

"Computational Models of Human Physiome: Towards Patient-Specific Diagnosis and Therapy Planning"


Medical imaging technologies have been advancing rapidly in recent years, making it possible to obtain exceedingly high-quality images of human anatomy. In fact, the current clinical guidelines for many pathologies are primarily based on geometrical attributes extracted from medical images. However, recent clinical evidence suggests that incorporating functional information for diagnosis and therapy planning provides significantly better clinical outcomes for patients. We are working on developing computational models of human physiology, which together with the detailed anatomies obtained from medical images make it possible to tailor therapies to patient-specific conditions. In this talk, I will discuss recent trends towards patient-specific medicine, and present computational solutions being developed in our group. In particular, I will focus on the development of problem-specific models for understanding hemodynamics. Although Computational Fluid Dynamics (CFD) has been developed for many decades, there has been limited success in translating these technologies into clinical practice. I will discuss some of the challenges in this process, and the broad range of expertise needed to tackle them. As a concrete example, I will present a clinical prototype developed in our group for analyzing cerebral aneurysms and discuss how it is being used for patient-specific therapy planning.


I received my Ph.D. in Mechanical Engineering from Johns Hopkins University, studying global instability of fluid flows in porous media. Subsequently, I spent a couple of years at Los Alamos National Laboratory developing numerical methods for studying problems with coupled flow, heat transfer and mechanical deformation in the context of geothermal energy production and geological sequestration of carbon dioxide. Since 2011, I have been a Scientist at Siemens Corporate Technology, developing medical image-based, patient-specific computational models for cardiovascular disorders. These models are being developed for understanding electrophysiology, biomechanics and hemodynamic phenomena.


Computational physiology, development of problem-specific, accelerated numerical methods, reduced-order modeling

Print this page