Plenary Event
Monday Morning Keynotes
20 February 2023 • 8:30 AM - 10:00 AM PST | Town & Country A
Session Chairs: Rebecca Fahrig, Siemens Healthineers (Germany) and Brian J. Park, Oregon Health & Science Univ. (United States)
8:30 AM:
Welcome and Introduction
8:35 AM:
Robert F. Wagner Award Finalists Announcements for Conferences 12463 and 12469
Physics of Medical Imaging Best Paper Award Announcement
Award Sponsored by:
8:40 AM
State of the art in the task-based assessment of medical imaging systems
Kyle J. Myers, Puente Solutions, LLC (United States)
Image Science provides a framework for the objective assessment of image quality. This framework has been used to support the evaluation of medical imaging system hardware, iterative reconstruction algorithms and other image processing methods, and display devices by academia, industry, and FDA. Since the earliest instances of the SPIE Medical Imaging Symposium the conference has served as an essential venue for presentations and discussions related to the objective assessment of image quality, featuring first disclosures of new models for physiological backgrounds and lesions, tools for simulating medical imaging systems, models for the human observer, and methods for computing task-based figures of merit. This talk will trace that historical arc of progress, presenting the state-of-the-science for image quality assessment and current challenges.
Kyle J. Myers received bachelor’s degrees in Mathematics and Physics from Occidental College in 1980 and a Ph.D. in Optical Sciences from the University of Arizona in 1985. Following a short stint in industry she worked for the Center for Devices and Radiological Health of the FDA, where she took on positions of increasing responsibility and served as the Director of the Division of Imaging, Diagnostics, and Software Reliability in the Center for Devices and Radiological Health’s Office of Science and Engineering Laboratories for more than 10 years. In that role she led research programs and developed regulatory policy for medical imaging systems and software tools including 3D breast imaging systems and CT devices, digital pathology systems, medical display devices, computer-aided diagnostics, biomarkers (measures of disease state, risk, prognosis, etc. from images as well as other assays and array technologies), and assessment strategies for imaging and other high-dimensional data sets from medical devices. Along with Harrison H. Barrett, she is the coauthor of Foundations of Image Science, published by John Wiley and Sons in 2004 and winner of the First Biennial J.W. Goodman Book Writing Award from OSA and SPIE. She is an associate editor for the Journal of Medical Imaging as well as Medical Physics. Dr. Myers is a Fellow of AIMBE, Optica, SPIE, and a member of the National Academy of Engineering. She serves on SPIE’s Board of Directors. She now works as an independent technical and regulatory consultant.
This keynote is part of the Physics of Medical Imaging conference.
9:20 AM
Federated learning: how the world's biggest federation is training state-of-the-art brain tumor segmentation models
Prashant Shah, Intel Health and Life Sciences (United States)
Federated learning is a paradigm that enables organizations to collaborate on machine learning projects without sharing sensitive patient data. This lowers the barrier to international collaboration to build generalizable models that mitigate bias by allowing access to larger and more diverse datasets. The talk will highlight key considerations in federated learning and discuss the results of the largest international federation of healthcare institutions that developed state-of-the-art brain tumor boundary detection model using MRI scans from 71 institutions across six continents.
Prashant Shah is the Global head of Artificial Intelligence for Health and Life Sciences (HLS) at Intel Corporation. He leads Intel’s efforts to develop IoT, datacenter and cloud based artificial intelligence platforms for medical imaging, electronic health records, genomics, and drug discovery. His work has led to the adoption of Intel’s AI technologies by over half of the WW medical imaging market, enabling AI to benefit patients, and clinicians to deliver precision healthcare. Many of the AI platforms have been widely adopted not only for HLS, but also by other industries. Prashant is also an appointed AI advisor to National Institutes of Health’s 'All of Us' precision medicine research program. This program aims to collect genomic, clinical, wearable, and environmental data of over 1 million participants for over 10 years, to allow researchers to establish the basis of wellness and disease.
This keynote is part of the Imaging Informatics for Healthcare, Research, and Applications conference.
8:30 AM:
Welcome and Introduction
8:35 AM:
Robert F. Wagner Award Finalists Announcements for Conferences 12463 and 12469
Physics of Medical Imaging Best Paper Award Announcement
Award Sponsored by:
8:40 AM
State of the art in the task-based assessment of medical imaging systems
Kyle J. Myers, Puente Solutions, LLC (United States)
Image Science provides a framework for the objective assessment of image quality. This framework has been used to support the evaluation of medical imaging system hardware, iterative reconstruction algorithms and other image processing methods, and display devices by academia, industry, and FDA. Since the earliest instances of the SPIE Medical Imaging Symposium the conference has served as an essential venue for presentations and discussions related to the objective assessment of image quality, featuring first disclosures of new models for physiological backgrounds and lesions, tools for simulating medical imaging systems, models for the human observer, and methods for computing task-based figures of merit. This talk will trace that historical arc of progress, presenting the state-of-the-science for image quality assessment and current challenges.
Kyle J. Myers received bachelor’s degrees in Mathematics and Physics from Occidental College in 1980 and a Ph.D. in Optical Sciences from the University of Arizona in 1985. Following a short stint in industry she worked for the Center for Devices and Radiological Health of the FDA, where she took on positions of increasing responsibility and served as the Director of the Division of Imaging, Diagnostics, and Software Reliability in the Center for Devices and Radiological Health’s Office of Science and Engineering Laboratories for more than 10 years. In that role she led research programs and developed regulatory policy for medical imaging systems and software tools including 3D breast imaging systems and CT devices, digital pathology systems, medical display devices, computer-aided diagnostics, biomarkers (measures of disease state, risk, prognosis, etc. from images as well as other assays and array technologies), and assessment strategies for imaging and other high-dimensional data sets from medical devices. Along with Harrison H. Barrett, she is the coauthor of Foundations of Image Science, published by John Wiley and Sons in 2004 and winner of the First Biennial J.W. Goodman Book Writing Award from OSA and SPIE. She is an associate editor for the Journal of Medical Imaging as well as Medical Physics. Dr. Myers is a Fellow of AIMBE, Optica, SPIE, and a member of the National Academy of Engineering. She serves on SPIE’s Board of Directors. She now works as an independent technical and regulatory consultant.
This keynote is part of the Physics of Medical Imaging conference.
9:20 AM
Federated learning: how the world's biggest federation is training state-of-the-art brain tumor segmentation models
Prashant Shah, Intel Health and Life Sciences (United States)
Federated learning is a paradigm that enables organizations to collaborate on machine learning projects without sharing sensitive patient data. This lowers the barrier to international collaboration to build generalizable models that mitigate bias by allowing access to larger and more diverse datasets. The talk will highlight key considerations in federated learning and discuss the results of the largest international federation of healthcare institutions that developed state-of-the-art brain tumor boundary detection model using MRI scans from 71 institutions across six continents.
Prashant Shah is the Global head of Artificial Intelligence for Health and Life Sciences (HLS) at Intel Corporation. He leads Intel’s efforts to develop IoT, datacenter and cloud based artificial intelligence platforms for medical imaging, electronic health records, genomics, and drug discovery. His work has led to the adoption of Intel’s AI technologies by over half of the WW medical imaging market, enabling AI to benefit patients, and clinicians to deliver precision healthcare. Many of the AI platforms have been widely adopted not only for HLS, but also by other industries. Prashant is also an appointed AI advisor to National Institutes of Health’s 'All of Us' precision medicine research program. This program aims to collect genomic, clinical, wearable, and environmental data of over 1 million participants for over 10 years, to allow researchers to establish the basis of wellness and disease.
This keynote is part of the Imaging Informatics for Healthcare, Research, and Applications conference.