The Medical Imaging & Data Resource Center (MIDRC)
Data Commons supports the management, analysis and sharing of medical imaging data for the improvement of patient outcomes. Through the MIDRC
Data Commons Portal, images and metadata are disseminated to investigators to expedite research that accelerates solutions to the COVID-19 pandemic and long COVID. Please note that MIDRC is actively looking for clinical sites to contribute
medical COVID-19-related images and associated data, emphasizing the importance of the inclusion of smaller clinical sites such as community hospitals, in order to mitigate potential bias in the data collection.
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MIDRC continually publishes new data.
Registered users can run queries on, and build cohorts of both chest radiographs and CT scans.
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AAPM 2022 Annual Meeting, was held in-person in Washington, DC
from July 10-14, 2022. Through symposia, panel discussions, poster presentations, workshops and more, the Annual Meeting presents emerging science, best practices and clinical techniques. AAPM attendees interact with vendors and learn about the latest technology to evaluate new equipment which informs purchasing decisions. This year's meeting theme was 'Celebrating Medical Physics: Transforming Human Health'; and as you might have guessed, MIDRC had a booth that was well-attended by investigators and vendors! Check out pictures from this year's meeting. If you weren't able to attend this year, we hope to see you next summer.
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Our Seminar Series is held on the third
Tuesday of the month. While we take a break during the summer months, check out the speakers and presentation from this past year!
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MIDRC Researcher Spotlights
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Kyle J. Myers, Ph.D.
Kyle 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 for over 30 years, taking on positions of increasing responsibility and ultimately serving as the Director of the Division of Imaging, Diagnostics, and Software Reliability in the Office of Science and Engineering Laboratories for more than 10 years. In that role she led research programs in 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.
Kyle is actively involved in MIDRC as a co-lead for Technology
Development Project 3d, which is developing and implementing methods for sequestering an independent data set to be used for the task-based testing of AI algorithms. TDP 3d is now overseeing the sequestering of data ingested by MIDRC. This closed MIDRC-built data set will facilitate the evaluation of AI algorithms for specific clinical tasks, claims, and populations using data known to be diverse, of high quality, and for which the integrity of the AI algorithm testing process has been ensured. Kyle is also a member of MIDRC’s Bias and Diversity Working Group, which seeks to ensure that MIDRC’s data, as well as its member researchers, are diverse. Kyle is the mother of 3 sons (can’t call them boys anymore when 2 are in their 20s!) and enjoys running, hiking, and exploring Arizona now that she’s back living in that state to be near family. She’s signed up to hike the Grand Canyon with her sister next February, a long-time bucket-list item!
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George Shih MD MS FACR
George has been a radiologist at Weill Cornell Medicine in New York City for 15+ years, where he is currently Professor and Vice-Chair For Informatics. He has undergraduate and masters degrees in Computer Science and Electrical Engineering, and went to Duke University School of Medicine, before moving to NYC to do residency at Columbia University Irving Medical Center.
In MIDRC, George is a member of the TDP 4d project, which provides the cloud infrastructure for the RSNA data ingestion and data harmonization processes and pipelines that feed into MIDRC Gen3 platform for publication. He is also a member of the MIDRC Data Quality and Harmonization subcommittee.
George is an active member of the RSNA Radiology Informatics Committee, Machine Learning Steering Subcommittee, and Machine Learning Data Standards Subcommittee. He is also co-chair of the SIIM Machine Learning Committee and co-chair of the Society of Abdominal Radiology AI Committee. Dr. Shih is an Associate Editor of the journal Radiology: Artificial Intelligence and a member of the Journal of Digital Imaging Editorial Board.
George is also a course director in the newly minted RSNA AI Certificate education program (https://rsna.org/ai-certificate) which provides the first-ever, radiology-specific AI certificate program geared for non-technical mainstream radiologists, so they can more actively participate in various radiology AI efforts from inception to clinical validation.
He is also co-founder of MD.ai, which provides a medical AI cloud platform for doctors, researchers, and engineersto annotate, build, validate,
and deploy medical AI.
In his free time, George tries not to think too much about AI, and instead watches and plays as much tennis as possible with his kids, ages 10 and 13.
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Sharyn Katz, MD, MTR
Sharyn Katz, MD, MTR is thoracic radiologist, Associate
Professor of Radiology and the Director of Research for the Division of Thoracic Radiology at the University of Pennsylvania Perelman School of Medicine. Her research is focused on imaging of thoracic malignancies with a focus on detection, staging, response evaluation, and treatment guidance. She is also the Steering Committee Chair for ACR’s COVID-19 Imaging Research Registry (CIRR), which is one of two data contribution pathways for MIDRC. Under her leadership, CIRR has collected nearly 100,000 imaging studies. Dr. Katz also leads one of MIDRC’s 12 Collaborative Research Projects. Her project entitled "Leveraging registry data to conduct virtual clinical trials" will use MIDRC data to derive and validate a predictive model based on imaging features on chest radiography for clinical outcome among hospitalized adult COVID-19 patients. Outside of work Sharyn enjoys spending time with her three children, gardening and international travel.
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More on MIDRC
Read literature published and peer-reviewed by MIDRC investigators regarding our research.
We are committed to the crucial principles of equity and inclusion.
Learn more about MIDRC Diversity.
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If you are interested in becoming a MIDRC partner please contact kpizer@bsd.uchicago.edu
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