8:20 AM - 8:25 AM:
Welcome and introduction
8:25 AM - 8:30 AM:
Award announcements
- Robert F. Wagner Award finalists for conferences 13405, 13409, and 13411
- Physics of Medical Imaging Student Paper Award, sponsored by:
8:30 AM - 9:10 AM:
Promoting innovation in your team: Lessons learned from 40 years in medical imaging
Thomas M. Grist, University of Wisconsin School of Medicine and Public Health (United States)
The development of advanced cross-sectional imaging technologies, especially X-ray CT and MRI, are widely recognized as the most impactful inventions in health care during the last 50 years. During this period of transformative innovation in medical imaging, progress has been accelerated through collaborative efforts between medical physicists, physicians, and the medical imaging industry. Innovation can be accelerated through individual efforts to promote the creative process, as well as frameworks to enhance collaboration and invention amongst teams of researchers. The purpose of this lecture is to examine key elements of the inventive process that have contributed to the development of medical imaging in the past that can be leveraged for ongoing advances in healthcare in the future.
Thomas M. Grist, MD, FACR, received his undergraduate degree in biomedical engineering from Marquette University in Milwaukee, WI, in 1981, and his Doctor of Medicine degree from the Medical College of Wisconsin in 1985. He completed his radiology residency at Duke University in Durham, NC. In 1991, he joined the faculty of the Department of Radiology at the University of Wisconsin in Madison, WI. He served as the John Juhl Professor and Chair of Radiology at the UW School of Medicine and Public Health from 2005-2024. During his tenure as Chair, the Department has grown in its international impact and now includes over 120 Clinical Faculty, and more than 60 trainees. Together with colleagues in Medical Physics and Radiology, Dr. Grist established the Imaging Sciences Center in the Wisconsin Institutes for Medical Research, (WIMR) a nearly 60,000 sq. ft., state-of-the-art facility devoted to the development of advanced imaging technologies and their translation to clinical practice.
Dr. Grist has lectured extensively nationally and internationally. He has authored 4 books, 16 book chapters and over 200 peer-reviewed publications. His research has resulted in 17 patents. He is an active member in many professional organizations including the Society of Chairs of Academic Radiology Departments (SCARD), the International Society for Magnetic Resonance in Medicine (ISMRM), the International Society for Strategic Studies in Radiology (IS3R) and the Radiologic Society of North America (RSNA). He has been honored as a Fellow of the American Heart Association, ISMRM, AIMBE, Society for Advanced Body Imaging, and American College of Radiology. Dr. Grist has served as President of the ISMRM and SCARD and President elect of IS3R. Dr. Grist was appointed to the University of Wisconsin Hospitals and Clinics Public Authority Board of Director and served a ten-year term in beginning in 2014. Professionally, Dr. Grist is interested in the development and application of advanced MRI and CT techniques for diagnosis and therapy of human disease, primarily for the evaluation of cardiovascular disorders.
This keynote is part of the Physics of Medical Imaging conference.
9:10 AM - 9:50 AM:
Designing AI for the clinic: Internalizing the clinical task when developing deep-learning algorithms for medical imaging
Abhinav Kumar Jha, Washington Univ. in St. Louis (United States)
Deep learning algorithms for image reconstruction, processing and segmentation are being developed and showing strong promise for multiple medical-imaging applications. However, medical images are acquired for clinical tasks, such as defect detection and feature quantification, and these algorithms are typically developed and evaluated agnostic to this clinical task. This talk will first discuss why clinical-task-agnostic evaluation of AI algorithms can be misleading, emphasizing the need for clinical-task-based evaluation of these algorithms. This discussion will lead to a new frontier in designing deep-learning algorithms that explicitly account for the clinical task of interest. We will see through examples how the clinical task can be incorporated within the design of these algorithms and how this then poises the algorithm for success in clinical applications. Throughout the talk, we will note how the rich field of model observers provides a mechanism to both design and evaluate AI algorithms for clinical tasks.
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, Michael B. Merickel Best Student Paper award at SPIE Medical Imaging, Therapy Center for Excellence Young Investigator award, 30 Early Career Professionals to Watch of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), and Young Investigator Symposium Award of Distinction for Translational Sciences at the ECOG-ACRIN meeting. He is the current chair of the 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 Physics, Instrumentation and Data Sciences Council of the SNMMI, the Board of Directors of the Indo-American Society of Nuclear Medicine and a senior member of the IEEE and SPIE.
This keynote is part of the Image Perception, Observer Performance, and Technology Assessment conference.
9:50 AM - 10:30 AM:
To be determined
Speaker to be determined
This keynote is part of the Imaging Informatics conference.
Event Details
FORMAT: General session with live audience Q&A to follow each presentation.MENU: Coffee, decaf, and tea will be available outside presentation room.
SETUP: Assortment of classroom and theater style seating.