LANS Seminar

Seminar Title: On accelerating iterative gradient type methods for solving Electrical Impedance Tomography problems

Speaker: Dr. Sanwar Ahmad, Assistant Professor at Virginia State University, Primary research area: Inverse Problems and their Applications in Medical Imaging

Date/Time: August 14, 2024/ 10:30 AM-11:30 AM
Location: See Meeting URL on the cels-seminars website which will require an Argonne login.

Description: Electrical impedance tomography (EIT) is an imaging modality that determines the internal conductivity and permittivity distribution based on the voltage measurements made on an object’s surface when currents are applied. Due to its non-invasiveness, non-ionizing characteristics, and cost effectiveness, EIT is gaining a lot of attention in recent years. The Inverse EIT problems are severely challenging due to their ill-posed nature. Generally, three methodologies are employed to tackle such ill-posed problems: i) direct approaches, ii) iterative techniques, and iii) statistical methods. Iterative methods, formulated within nonlinear optimization frameworks, are robust to noise and limited data; however, they come with high computational demands due to the computation involved in the forward operator’s Jacobian matrix. In this presentation, we briefly describe the EIT problem, model equation and an alternative strategy to solve the inverse EIT problem that reduces the computational costs. We also present some numerical examples to demonstrate the efficiency of the proposed method.

Bio: Dr. Sanwar Ahmad is an Assistant Professor at Virginia State University. His primary research area is in inverse problems and their applications in medical imaging. He earned his Ph.D. in Mathematics from Clemson University in 2019. From 2019 to 2022, he was an NIH postdoctoral fellow at Colorado State University, where he focused on creating efficient numerical algorithms for solving 3D Electrical Impedance Tomographic problems.