Imaging Science Seminar: Computational Framework for the Elastography Inverse Problem
Imaging Science Seminar
Computational Framework for the Elastography Inverse Problem
Dr. Basca Jadamba
Professor, School of Mathematics and Statistics
Rochester Institute of Technology
Register for Zoom Link Here
Abstract:
Early detection and treatments are key components in improvements in patient survival rates in cases of soft tissue cancers such as breast cancer. In this talk, we will introduce a computational framework for a parameter identification problem involving a system of partial differential equations (PDEs) describing displacements in soft tissues under applied forces where tissue displacements are obtained from imaging systems such as ultrasound. The focus of the work is the recovery of a spatially varying parameter in the model where the underlying mathematical problem is an optimization problem where the system of PDEs serves as a constraint. We introduce an adaptive mesh refinement framework based on finite element methods where the main goal is improved computational efficiency while still providing the resolution needed for accurate recovery of the parameter.
Bio:
Basca Jadamba is a Professor in the School of Mathematics and Statistics at RIT. She received her Ph.D. in Applied Mathematics from University of Erlangen-Nuremberg and her research interests are in inverse problems in PDEs and numerical analysis.
Intended Audience:
All are Welcome!
Event Snapshot
When and Where
Who
This is an RIT Only Event
Interpreter Requested?
No