Title:

High Performance Computing for in Silico Trials: Applications in Radiation Therapy and Medical Imaging

Speaker:

Dr. Jayasai Rajagopal

Affiliation:

Oak Ridge National Labs

When:

Thursday, October 2, 2025 at 11:00:00 AM   Add to Calendar

Where:

Boggs Building, Room 3-47

Host:

Shaheen Dewji
shaheen.dewji@gatech.edu

Abstract

Evaluation of medical imaging and therapy applications plays an important role in regulatory science and clinical care. Experimental methods enable exploration of many variables but rely on simplified models. Clinical methods have maximal realism but face challenges in terms of ethical considerations, absence of known ground truth, and logistical costs of large-scale trials. An alternative approach is in silico trials. Each component of virtual trials is handled in the computational domain using virtual patient populations, virtual image acquisition or treatment, and computer aided evaluation of outcomes. Thus, in silico trials combine the strengths of experimental and clinical approaches by enabling exploration of many variables with a known ground truth and a higher degree of clinical realism. However, simulation-based approaches face questions regarding complexity and scale that can quickly increase computational requirements. High-performance computing resources offer a potential answer to these questions. Computer clusters and supercomputers offer the opportunity to increase the scope of simulation studies and evaluate more complex scientific questions. In this talk, in silico methods for medical imaging and radiation therapy applications were developed and integrated with ORNL computational systems. Platforms were used to evaluate computational needs for large scale trials and demonstrate the benefits of high-performance computing resources in these applications.

Biography

Jayasai Rajagopal works as a postdoctoral research associate in the Advanced Computing for Health Science section at Oak Ridge National Labs. His work focuses on the application of high-performance computing to in silico trials for medical imaging and therapy applications. He completed his BA at the University of Chicago with a major in Mathematics and minors in Physics and Molecular Engineering. He completed his PhD in Medical Physics under a joint program between Duke University and the National Institutes of Health Clinical Center focusing on acquisition physics, clinical applications, and algorithm development for spectral and photon-counting CT.

Notes

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