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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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George Biros
University of Pennsylvania
Department of Mechanical Engineering and Applied Mechanics
Department of Bioengineering
Department of Computer and Information Science
"Toward petaflop algorithms for medical-image driven inverse problems in biophysics"
In this talk, I will describe algorithms for massively parallel assimilation of multimodal time-varying medical images with biophysical models. The goal is to create highly-resolved, physically-realistic, patient-specific biophysical models. In addition, the numerical methods should deliver optimal algorithmic complexity, and should scale to thousands of processors. The target applications are problems in the cardiac and brain physiology.
In particular, I will discuss three topics: (1) fast octree-based algorithms for elliptic and parabolic partial differential equations
(PDEs) that are used to model the biophysics; (2) algorithms for inverse problems constrained by partial differential equations; and
(3) the application of the inverse and forward solvers to 4D deformable image registration problems that aim to extract cardiac motion data from MRI sequences and to subsequently use the reconstructed motion fields as virtual observations to identify patient-specific spatial tissue heterogeneities (for example, ischemic regions in the heart).
Bio:
George Biros is an assistant professor in Mechanical Engineering and Applied Mechanics, Bioengineering, and Computer and Information Science at the University of Pennsylvania. He received his BS in Mechanical Engineering from Aristotle University Greece (1995), his MS in Biomedical Engineering from Carnegie Mellon (1996), and his PhD in Computational Science and Engineering also from Carnegie Mellon (2000). He joined Penn in 2003 after a postdoctoral appointment at the Courant Institute of Mathematical Sciences. He is affiliated with the Computer Science Research Institute (CSRI) at the Sandia National Laboratories.
