Digital Forum
Online Only
15 - 19 February 2021
Plenary Events
Physics of Medical Imaging Keynote Presentation
Date: Monday 15 February 2021
Time: 8:00 AM - 9:00 AM PST
Location: Live Event
Times for this live event are all Pacific Standard Time (UTC-8:00 hour)

Physics of Medical Imaging (Conference 11595)

8:00 AM to 8:05 AM: Welcome and Opening Remarks

Conference Chairs: Hilde Bosmans, Katholieke Univ. Leuven (Belgium); Wei Zhao, Stony Brook Univ. (United States)
Conference Co-Chair: Lifeng Yu, Mayo Clinic (United States)

8:05 AM to 8:45 AM: Radiomics: Transforming Standard Imaging Into Mineable Data for Diagnostic and Theragnostic Applications (Keynote Presentation)

Philippe Lambin, Maastricht Univ. (Netherlands)

Abstract: The rise of radiomics, the high-throughput mining of quantitative image features from (standard-of-care) medical imaging for knowledge extraction and application within clinical decision support systems (animation:} to improve diagnostic, prognostic, and predictive accuracy, has significant and substantial implications for the medical community (doi: 10.1016/j.ejca.2011.11.036 & doi: 10.1038/nrclinonc.2012.196). Radiomic analysis exploits sophisticated image analysis tools and the exponential growth of medical imaging data to develop and validate powerful image-based signatures/models. Certain authors proposed that radiomics could be used as a “virtual biopsy”. There are however two main differences: a) Radiomics is 3D and b) the radiomics values is a continuous variable.

Biography: Prof. Philippe Lambin (university of Maastricht, the Netherlands) is a Radiation Oncologist, ERC advanced & ERC PoC grant laureate, and pioneer in translational research with a focus on tumour hypoxia, Hypoxia Activated Prodrugs during immunotherapy and the development of AI-based treatment decision support system based on multiparametric databases. He is co-author of more than 492 peer reviewed scientific papers (H-index: 95) and co-inventor of more than 17 patent families.

8:45 AM to 9:00 AM: Live Q & A
Biomedical Applications in Molecular, Structural, and Functional Imaging Keynote Presentation
Date: Monday 15 February 2021
Time: 1:00 PM - 2:00 PM PST
Location: Live Event
Biomedical Applications in Molecular, Structural, and Functional Imaging (Conference 11600)

Experimentation and Radiology by Design; Leading us to Quantification and Artificial Intelligence

Alexander Norbash, Univ. of California, San Diego (United States)

Abstract: The promise of exciting concepts such as quantitative imaging and artificial intelligence illuminate the future of medical imaging. We recognize the fact that we live in an imperfect world which we hope and believe is continuously evolving toward perfection, although we also recognize that absolute perfection in any form likely cannot be achieved in our lifetimes. To facilitate such optimistic progress, we may need to consider cultures of experimentalism, which have been intentionally engineered through cultivating curiosity, guaranteeing data’s primacy over opinion, democratizing experimentation, being ethically aware, and embracing selfless leadership models.

Biography: Alexander Norbash is Chair and Professor of Radiology at the University of California, San Diego, (UCSD) in the School of Medicine, appointed in 2015. He currently practices as a diagnostic neuroradiologist. His translational research interests include engineering collaborations, and management interests include leadership, strategic planning, teamwork, and healthcare reform.
Image Perception, Observer Performance, and Technology Assessment Keynote Presentation
Date: Monday 15 February 2021
Time: 3:00 PM - 4:00 PM PST
Location: Live Event
Times for this live event are all Pacific Standard Time (UTC-8:00 hour)

Image Perception, Observer Performance, and Technology Assessment (Conference 11599)

3:00 PM to 3:05 PM: Welcome and Opening Remarks

Conference Chairs: Frank W. Samuelson, U.S. Food and Drug Administration (United States); Sian Taylor-Phillips, The Univ. of Warwick (United Kingdom)

3:05 PM to 3:45 PM: The Evidence Needed to Adopt Artificial Intelligence into Clinical Practice: Mammography Screening an Exemplar (Keynote Presentation)

Nehmat Houssami, Faculty of Medicine and Health, Sydney School of Public Health, The Univ. of Sydney (Australia)

Abstract: Mammography screening for breast cancer is an exemplar of an emerging role for artificial intelligence (AI) in image interpretation. Focusing on AI for mammography, the presentation will outline the need to build the evidence base to enable broader adoption of AI in health systems. This includes shifting research focus from early studies of AI development and validation using standardised cancer-enriched imaging datasets, to large scale comparative studies that improve the quality and generalisability of the evidence. Other challenges for the adoption of AI into practice will also be discussed to inform research.

Biography: Nehmat is a clinician and researcher and a Public Health physician, and Professor of Public Health at Sydney University where she leads a breast cancer research program. She has worked in breast imaging and screening services for 30 years. Her research interests include evaluation of population screening and new technologies such as digital breast tomosynthesis and artificial intelligence, pre-operative staging, and the effect of testing on clinical outcomes. She co-Chairs the University’s Artificial Intelligence in Cancer Care group, and is the National Breast Cancer Foundation’s inaugural Cancer Research Leadership Fellow. She has >280 peer-reviewed publications, and is co-Editor of The Breast.

3:45 PM to 4:00 PM: Live Q & A
Awards and Plenary Session
Date: Tuesday 16 February 2021
Time: 8:00 AM - 9:30 AM PST
Location: Live Event

8:00 am - Symposium Chair Welcome and best Student Paper Award announcement

The first place winner and runner up of the Robert F. Wagner All-Conference Student Paper Award will be announced.

8:15 am - SPIE 2021 Presidents Welcome and new SPIE Fellows Acknowledgements

8:20 am - SPIE Harrison H. Barrett Award in Medical Imaging

This award will be presented in recognition of outstanding accomplishments in medical imaging.

8:30 am - Plenary Presentation

Biophotonics Solutions to Global Health Challenges

Rebecca Richards-Kortum, Rice Univ. (United States)

Abstract: This talk will examine the challenges of designing and translating new biophotonics technologies to solve real clinical needs, drawing from examples to improve early detection of cervical cancer for women in Texas and Latin America, to improve point-of-care diagnosis of COVID-19, and to improve newborn survival in African hospitals. The talk will summarize lessons learned to increase the diversity of innovation teams, and to increase the impact and sustainability of the resulting innovations.

Biography: Rebecca Richards-Kortum, Ph.D. is the Rice University Malcolm Gillis University Professor of Bioengineering, the Director of Rice 360°: Institute for Global Health, and serves as the special advisor to the Provost on health-related research and educational initiatives. Her research has been instrumental in improving early detection of cancers and other diseases, especially in low-resources settings. She is currently working with colleagues and undergraduate students to develop a Nursery of the Future to provide technologies necessary to reduce neonatal death in sub-Saharan Africa to rates equivalent to the United States.

Richards-Kortum’s research has led to the development of 40 patents. She is author of the textbook Biomedical Engineering for Global Health (Cambridge University Press, 2010), more than 230 refereed research papers and 11 book chapters. Her teaching programs, research and collaborations have been supported by generous grants from the National Cancer Institute, National Institutes of Health (with more NIH grants than any other Rice professor), National Science Foundation, U.S. Department of Defense, Howard Hughes Medical Institute, Bill & Melinda Gates Foundation, Whitaker Foundation, and the Virginia and L.E. Simmons Family Foundation.

She is a member of numerous academic associations including the National Academy of Sciences, the National Academy of Engineering and the American Academy of Arts and Sciences. As a member of both the National Academy of Sciences and the National Academy of Engineering, she has the rare distinction of dual membership in the National Academies. In 2016, The American Institute for Medical and Biomedical Engineering (AIMBE) presented its highest honor, the Pierre Galletti Award to Dr. Richards-Kortum.

In 2008, she was named a Howard Hughes Medical Institute Professor and subsequently received a grant for the undergraduate global health program at Rice. This program won the Science Prize for Inquiry-Based Instruction from Science magazine and the Lemelson-MIT Award for Global Innovation.
Image-Guided Procedures, Robotic Interventions, and Modeling Keynote Presentation
Date: Tuesday 16 February 2021
Time: 3:00 PM - 4:00 PM PST
Location: Live Event
Times for this live event are all Pacific Standard Time (UTC-8:00 hour)

Image-Guided Procedures, Robotic Interventions, and Modeling (Conference 11598)

3:00 PM to 3:10 PM: Welcome, Opening Remarks and Award Announcements

Conference Chairs: Cristian A. Linte, Rochester Institute of Technology (United States); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (United States)

3:10 PM to 3:45 PM: Development of integrated patient-specific models of the mitral valve and left ventricle: Time dependent effects of ischemic mitral valve regurgitation

Michael Sacks, The Univ. of Texas at Austin (United States)

Abstract: The mitral valve (MV) regulates blood flow into the left ventricle (LV). In situations where the MV fails to fully close the resulting blood regurgitation into the left atrium causes pulmonary congestion, leading to heart failure and/or stroke. There is now agreement that adjunctive procedures are required to treat IMR, yet there is no consensus regarding the best procedure. There is thus an urgent need for quantitative assessments of MV function to better design surgical solutions. We demonstrate state-of-the-art means to produce patient-specific MV computational models to develop quantitatively optimized devices and procedures for MV repair that incorporate LV geometry.

Biography: Professor Sacks is a world authority on cardiovascular modeling and simulation, particularly on developing patient-specific, simulation-based approaches for the understanding and treatment of heart and heart valve diseases. His research is based on multi-scale modeling, quantification, and simulation of the biophysical behavior of the constituent cells and tissues and translation to the organ level in health, disease, and treatment. For example, he has developed novel non-invasive methods to quantify pre- and post-surgical state of the mitral valve from pre-surgical clinical images.

He has determined the how local stress environments of heart valve interstitial cells alter their biosynthetic responses in the context of altered heart and valvular organ-level responses. His research also includes developing novel cardiac models to simulate growth and remodeling of the myocardium in pulmonary hypertension, the first full 3D approach for left ventricular myocardium mechanical behavior.

3:45 PM to 4:00 PM: Live Q & A
Digital and Computational Pathology Keynote Presentation
Date: Wednesday 17 February 2021
Time: 8:30 AM - 9:30 AM PST
Location: Live Event
Times for this live event are all Pacific Standard Time (UTC-8:00 hour)

Digital and Computational Pathology (Conference 11603)

8:30 AM to 8:35 AM: Welcome and Opening Remarks

Conference Chairs: John E. Tomaszewski, Univ. at Buffalo (United States); Aaron D. Ward, The Univ. of Western Ontario (Canada)

8:35 AM to 9:15 AM: Computational Pathology: What is the way forward?

Jeroen van der Laak, Radboud Univ. Medical Ctr. (Netherlands)

Abstract: Deep learning is a state-of-the-art pattern recognition technique that has been found extremely powerful for the analysis of digitized histopathological slides. The number of studies presenting highly promising results for solving diagnostic tasks in histopathology has grown exponentially over the last few years. Examples are subtyping of lung and skin tumors, breast and prostate cancer grading, and detection of metastases. Unfortunately, few studies so far include an external validation using large, independent cohorts, let alone study the true clinical usefulness in prospective studies. As a result, the balance between promise and hype in public opinion may be skewed.

In this talk, I will present some of the current possibilities of AI for histopathology, and discuss potential future developments. I will also address the challenges that have to be overcome before we can deliver true value to pathologists, patients, and the healthcare system. These are in many cases of a non-technical nature. Issues related to the availability of large heterogeneous data sets, possibilities to obviate expensive manual labeling of data, workflow integration, ethical, legal and regulatory issues, explainability, and reimbursement models all lie on the way forward for full adoption of computational pathology.

Biography: Jeroen van der Laak is principle investigator and associate professor of computational Pathology at the Department of Pathology of the Radboud University Medical Center in Nijmegen, The Netherlands, and guest professor at the Center for Medical Image Science and Visualization (CMIV) in Linköping, Sweden. He holds an MSc in computer science and acquired his Ph.D. from the Radboud University in Nijmegen. His research focuses on the use of deep learning for the analysis of digitized histopathological images.

9:15 AM to 9:30 AM: Live Q & A
Image Processing Conference Keynote Presentation
Date: Wednesday 17 February 2021
Time: 1:00 PM - 2:00 PM PST
Location: Live Event
Times for this live event are all Pacific Standard Time (UTC-8:00 hour)

Image Processing (Conference 11596)

1:00 PM to 1:05 PM: Welcome and Opening Remarks

Conference Chairs: Ivana Išgum, Amsterdam UMC (Netherlands); Bennett Landman, Vanderbilt Univ. (United States)

1:05 PM to 1:45 PM: A New Frontier In Critical Care: Saving the Injured Brain in the time of COVID-19

E. Wesley Ely, Vanderbilt Univ. School of Medicine (United States)

Abstract: There is great bodily and cognitive injury occurring to patients cared for in the ICU, much of which is preventable. ICU Survivors live with the post-intensive care syndrome or PICS, and it alters their lives in dramatic ways. Dr. Ely will review the data on PICS, discuss delirium and acquired-dementia, and evidence-based ways to improve patient safety and recovery.

Biography: Dr. E. Wesley Ely, MD, MPH is a professor of medicine at Vanderbilt University School of Medicine and the Associate Director for Research for the VA Tennessee Valley Geriatric Research and Education Clinical Center (GRECC). He is also the co-director of the Center for Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center. He has a subspecialty training in Pulmonary and Critical Care Medicine and a particular passion for care of older critically ill patients. During the COVID-19 Pandemic, Dr. Ely and the CIBS Center designed and conducted multiple federally and institutionally funded COVID-related investigations.

Dr. Ely’s research has focused on improving the care and outcomes of critically ill patients with ICU-acquired brain disease (manifested acutely as delirium and chronically as acquired dementia.) The CIBS Center has amassed thousands of patients into cohort studies and randomized trials answering vital questions about ICU acquired brain disease and other components of ICU survivorship. His team developed the primary tool (CAM-ICU, translated into 30+ languages) which is used to measure delirium in ICU-based trials and clinically at the bedside in ICUs worldwide. Dr. Ely has been continuously federally funded (NIA and/or VA) for over 15 years. He has over 450 peer-reviewed publications and over 50 published book chapters and editorials.

1:45 PM to 2:00 PM: Live Q & A
Imaging Informatics for Healthcare, Research, and Applications Wednesday Keynote Presentation
Date: Thursday 18 February 2021
Time: 8:00 AM - 9:30 AM PST
Location: Live Event
Imaging Informatics for Healthcare, Research, and Applications (Conference 11601)

Robotic Imaging, Machine Learning and Augmented Reality for Computer Assisted Interventions

Nassir Navab, Johns Hopkins Univ. (United States)

Abstract: This talk presents an overview of most recent advancements in Robotic Imaging, Machine Leaning and Medical Augmented Reality (AR). I will first discuss the particular requirements for intra-operative imaging and visualization. I will then present our latest results in intra-operative multimodal robotic imaging and its translation to clinical applications. I will discuss the impact of recent advancement in machine learning on medical imaging and computer assisted intervention. Finally, I will give a short review of state of art in medical AR and focus on the first two AR applications which made it into real surgery rooms. For video demonstrations see and

Biography: Nassir Navab is a full Professor and Director of the Laboratory for Computer Aided Medical Procedures, TU Munich and Johns Hopkins University. He has faculty appointments at both affiliated Medical Schools. He received the Siemens Inventor of the Year Award and the SMIT Society Technology Award. He is Fellow of MICCAI and so far, his scientific papers count more than 35,500 citations.
Imaging Informatics for Healthcare, Research, and Applications Thursday Keynote Presentation
Date: Thursday 18 February 2021
Time: 10:30 AM - 12:00 PM PST
Location: Live Event
Imaging Informatics for Healthcare, Research, and Applications (Conference 11601)

Clinical Information Systems and COVID-19: Support for Health System Response

James Jeffrey Reeves, Univ. of California, San Diego (United States)

Christopher Longhurst, Univ. of California, San Diego (United States)

Abstract: Facing the COVID-19 pandemic, healthcare organizations across the world worked expeditiously to prepare for and manage the outbreak. In the modern era, clinical information systems (CIS) and the electronic health record (EHR) are essential tools that can support patient care and enhance healthcare delivery. Researchers out of the University of California, San Diego, were the first to describe in detail the rapid development and implementation of EHR based tools designed specifically to support the management of COVID-19. Drs. Jeff Reeves and Chris Longhurst will describe how CIS are utilized in response to COVID-19, challenges to successful implementation of informatics tools, and the future of informatics in pandemic management.

Biographies: Dr. J. Jeffery Reeves is the Physician Lead for Perioperative Improvement and Informatics at UC San Diego Health while completing his General Surgery Residency. His academic focus is in utilizing big data and clinical informatics to improve healthcare delivery and reduce costs with a focus on the surgical environment. During the COVID-19 pandemic, he has studied how clinical information systems can be used to support patient care in a rapidly changing healthcare environment.

Dr. Christopher Longhurst serves as chief information officer and associate chief medical officer for quality and safety at UC San Diego Health. This dual, complementary role provides leadership in key functional areas to continuously improve efforts around operations, reputation and care provided at UC San Diego Health.

Dr. Longhurst is also a key faculty member in the Departments of Biomedical Informatics and Pediatrics in the UC San Diego School of Medicine, maintaining an active clinical practice as a newborn hospitalist and pursuing scholarship in care quality, patient safety, and health informatics.

Dr. Longhurst most recently served as chief medical information officer for Stanford Children's Health, where he led strategic efforts to improve children's health and provider workflow using information technology. He founded and led the clinical informatics fellowship at Stanford, where he was a clinical professor of pediatrics. He also staffed the quality committee of Stanford's hospital board and facilitated national quality improvement collaborative work.

He completed his residency at Stanford School of Medicine and earned his medical degree and MS in medical informatics from UC Davis. He holds a BS in molecular biology from UC San Diego. He is a board-certified pediatrician and clinical informaticist, and founded Stanford’s fellowship in clinical informatics, first in the nation to receive ACGME accreditation. Described as a pragmatic academician, Dr. Longhurst, serves as an advisor to several companies and speaks internationally on a wide gamut of healthcare IT topics.
Ultrasonic Imaging and Tomography Keynote Presentation
Date: Thursday 18 February 2021
Time: 1:00 PM - 2:00 PM PST
Location: Live Event
Ultrasonic Imaging and Tomography (Conference 11602)

A Low-cost Portable Point-of-care Ultrasound-on-chip Probe for Improving Healthcare

Tyler Ralston, Butterfly Network, Hyperfine Research, Tesseract Health (United States)

Abstract: Ultrasound is an enormous utility to healthcare worldwide with decades of clinical use and research. A diversely capable point-of-care ultrasound probe may facilitate bed-side examinations for indications spanning the entire body. This presentation elaborates on the design and use of a portable, low-cost ultrasound-on-chip (UoC) probe, where a 2D array of micro-electromechanical systems (MEMS) sensors (8960) are integrated onto controlling and processing circuitry designed with a high-volume complementary metal oxide semiconductor (CMOS) fabrication process. The UoC probe has been cleared for 13 indications by the Food and Drug Administration and provides connectivity to a smart device, the cloud, and artificial intelligence algorithms to broaden its capabilities.

Biography: Dr. Tyler S. Ralston is a co-founder, executive, and technical fellow across multiple life science and medical device companies in the 4Catalyzer incubator, whose contributions span Butterfly Network, Hyperfine Research, and Tesseract Health as the Chief Technology Officer. Prior to 4Catalyzer, his medical product developments have received 3 R&D 100 Awards. Dr. Ralston received his Ph.D. from Univ. of Illinois at Urbana-Champaign, and subsequently developed imaging programs at Massachusetts Institute of Technology Lincoln Laboratory and Lawrence Livermore National Laboratory. He currently holds 100+ patents and 50+ publications.
Computer-Aided Diagnosis Keynote Presentation
Date: Friday 19 February 2021
Time: 8:00 AM - 9:20 AM PST
Location: Live Event
Computer-Aided Diagnosis (Conference 11597)

Decoding Radiology: A Brief History

Saurabh Jha, Assoc. Professor of Radiology, Univ. of Pennsylvania (United States)

Abstract: Radiology has evolved from an information sparse to an information rich domain, with increased structure and reduced subjectivity. I will discuss the changes in radiology and implications for deep networks.

Biography: Saurabh Jha is a British trained physician and American trained radiologist who writes extensively about radiology, medicine, politics, culture, and, of course, artificial intelligence. His work has appeared in NEJM, JAMA, BMJ, The Times, Fobes and others.
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