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Imaging Science & Engineering Seminar | Abhinav K. Jha

Friday, October 10, 2025 8:30 AM to 9:30 AM

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Abhinav K. Jha
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About this Event

Preston M. Green Hall, Rodin Auditorium room 0120 View map

135 N Skinker Blvd, St. Louis, MO 63112, USA

#ImagingScience, #ESE
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Integrating Physics and Deep Learning for CTLESS SPECT: From Theory to Clinical Validation

Abstract: Single-photon emission computed tomography (SPECT) is a widely used clinical imaging modality but typically requires an additional X-ray CT scan for attenuation compensation. This dependence introduces several drawbacks, including increased radiation dose, higher costs, potential sources of inaccuracy, and, importantly, limited access to the necessary hybrid SPECT/CT imaging systems. In this talk, I will describe how merging concepts from information theory, physics, and deep learning enabled us to develop a solution for performing attenuation compensation directly from SPECT measurements and without the need for an additional CT scan. The presentation will trace the evolution of this approach: beginning with its theoretical foundations, moving through the development and implementation of the method, and culminating in its validation on clinically relevant tasks using anthropomorphic and, most recently, human observer studies in collaboration with multiple physicians. This journey illustrates how advances in computational imaging science can make medical imaging safer, more accessible, affordable, and accurate.

Event Details

Event Type

Lectures & Presentations Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology

Department

Electrical & Systems Engineering, Imaging Science

Hashtag

#ImagingScience, #ESE

Event Contact

Matthew Lew

Speaker Information

Abhinav K. Jha

Associate Professor of Radiology

Associate Professor of Biomedical Engineering

Bio: Dr. Abhinav Kumar Jha is an Associate Professor at Washington University in St. Louis with joint appointments in Biomedical Engineering and the Mallinckrodt Institute of Radiology and courtesy appointment in the Department of Electrical & Systems Engineering and Department of Computer Science and Engineering. Previously, he was a faculty at Johns Hopkins University. Dr. Jha obtained his PhD with valedictorian honors from the University of Arizona. He is a recipient of the NSF CAREER, NIBIB Trailblazer, Distinguished Investigator Award from the Academy of Radiology and Biomedical Imaging Research, Young Investigator Symposium Award of Distinction for Translational Sciences at the ECOG-ACRIN meeting, and the Michael B. Merickel Best Student Paper award at SPIE Medical Imaging. He is the current chair of the Society of Nuclear Medicine and Molecular Imaging (SNMMI) AI task force and previously led the evaluation team within this task force that proposed the RELAINCE guidelines for evaluation of AI algorithms for nuclear medicine. He is on the Board of Directors of the Indo-American Society of Nuclear Medicine and a senior member of the IEEE and SPIE. 

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