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DAY 1, May 22, 2023 (10:00 am
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- 2:00 pm EDT)
Welcome and Opening Comments
10:00 am - 10:10 am EDT
Keyvan Farahani, PhDDr. Farahani is Senior Data Science, Imaging, and AI Program Director at the National Heart, Lung, and Blood Institute. He's on detail at NCI CBIIT as a program director for imaging informatics and serves as the federal lead for several imaging projects, including the MIDI Initiative.Institute & National Cancer Institute, National Institutes of Health
Session 1: Report of the MIDI Task Group - Best Practices and Recommendations
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10:10 am - 11:00 am EDT
In this session, David Clunie, chair of the MIDI Task Group, will summarize the best practices and recommendations included in the task group's report, recently available in pre-print, followed by a question and answer period.
Session Chair: David Clunie, MBBS, PixelMed
10:10 am - 10:50 am David Clunie, MBBS, PixelMed
Summary of the MIDI Task Group Report
10:50 am - 11:00 am Discussion
Session 2: Tools for Conventional Approaches to De-Identification
11:00 am - 11:50 pm EDT
In this session, speakers will share methods currently in use for medical de-identification.
Session Chair: Fred Prior, PhD, University University of Arkansas for Medical Sciences
Speakers:
11:00 am - 11:10 am Fred Prior, PhD, University of Arkansas for Medical Sciences
Setting the Stage
11:10 am - 11:20 am Michael Rutherford, MS
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, University of Arkansas for Medical
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Sciences
The Tools of TCIA: Standardizing Zero-Tolerance De-identification
11:20 am - 11:30 am Stephen Moore, MS, Washington University School of Medicine in St. Louis
Break
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XNAT Platform: Image De-identification
11:30 am - 11:50 am Panel Discussion
Break 11:50 am - 12:00 pm
Session 3: International Approaches to De-Identification
12:00 pm - 12:40 pm EDT
This session will focus on requirements for de-identification outside of the United States.
Session chair: Will William Parker, MD, DABR, FRCPC University of British Columbia
12:00 pm - 12:10 pm William Parker, MD, University of British Columbia
Speakers:
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12:10 pm - 12:20 pm Haridimos Kondylakis, PhD, Institute of Computer Science, Foundation of Research & Technology (FORTH)
Data Infrastructures for AI in Medical Imaging: A report on the experiences of five EU projects
12:20 pm - 12:30 pm Christian Ludwigs, MSc, Aigora GmbH
Legal Framework and Best Practices for Medical Image De-Identification in the EU
12:30 pm - 12:40 pm Discussion
Session 4: Industry
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Panel on Image De-Identification
12:40 pm - 1:50 pm EDT
This session, largely a panel discussion, will feature flash Industry has a role to play in de-identification, developing tools that protect human identity in medical images. This session will feature presentations by industry groups that examine and discuss their approaches and offeringsinnovative approaches to image de-identification.
Session chair: Jürgen Juergen Klenk, PhD, Deloitte Consulting LLPSpeakers:
Panelists:
- Abraham Gutman, MS, AG Mednet
Advances in Medical Imaging De-Identification and the Impact of Regulatory Constraints - Dan Marcus, PhD, Flywheel
The Flywheel Platform for Intelligent Image Anonymization - Bob Lou, MD, Google
Medical Imaging De-identification on Both Images and Text using AI Models - Lawrence (Tony) O’Sullivan, MS, IBIS
- Rahul Krish, IBIS
- Dan Marcus, Flywheel
Closing Remarks
- Optimizing and Automating Radiology
- Jiri Dobes, PhD, John Snow Labs
Day 1 Closing Remarks
1:50 pm - 2:00 pm EDT
David Clunie, MBBS, PixelMed, Inc.
DAY 2, May 23, 2023 (10:00 am
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- 2:00 pm EDT)
Welcome and Recap
10:00 am - 10:10 am EDT
David Clunie, MBBS, PixelMed, LLC
Session 5: Pathology Whole Slide Image De-Identification
10:10 am - 11:00 am EDT
In this session, researchers will discuss pathology whole slide image de-identification.
Session chair: Adam Taylor, PhD, Sage Bionetworks
Speakers:
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10:10 am - 10:20 am Adam Taylor, PhD, Sage Bionetworks
10:20 am - 10:30 am Tom Bisson, PhD
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, Charité Universitätsmedizin Berlin
Anonymization of Whole Slide Images in in Histopathology for Research and Education
10:30 am - 10:40 am David Gutman, MD, PhD, Emory University
Image DePHI and the DSA: Open Source tools for Histology Image De-Identification
10:40 am - 11:00 am Panel Discussion
Session 6: De-facing
11:00 am - 12:00 pm EDT
This session will focus on balancing the risks of removing potentially reconstructable facial information in head and neck cross-sectional images, also called de-facing, with the diminished utility of these images caused by restricted access to them.
Session chair: Ying Xiao, PhD, Hospital of the University of Pennsylvania
Speakers:
- Christopher Schwartz, Mayo Clinic
- Douglas Greve, MGH/Harvard
Break
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11:00 am - 11:10 am Ying Xiao, PhD, University of Pennsylvania
11:10 am - 11:20 am Christopher Schwarz, PhD, Mayo Clinic
Face Recognition and De-Identification of Research Brain Images with mri_reface
11:20 am - 11:30 am Douglas Greve, PhD, MGH/Harvard
MIDEFACE: Minimally Invasive Defacing
11:30 am - 11:50 am Panel Discussion
Break 11:50 am - 12:00 pm
Session 7: The Role of AI in Image
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De-Identification
12:00 pm - 12:50 pm
In this session, researchers discuss the utility and risk of using algorithms from machine learning (ML) and artificial intelligence (AI) to de-identify medical imagesAI algorithms in image de-identification.
Session chair: Judy Wawira Gichoya, MD, MS, Emory University
Speakers:
12:00 pm - 12:10 pm Judy Wawira Gichoya, MD, Emory University
12:10 pm - 12:20 pm George Shih, MD
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, Weill Cornell Medical College
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Pixel De-Identification Using AI
12:20 pm - 12:30 pm Adrienne Kline, MD, PhD, Northwestern University
PyLogik: An open-source resource for medical image de-identification
12:30 pm - 12:50 pm Panel Discussion
Session 8: NCI MIDI Datasets and Pipeline
12:50 pm - 1:50 pm
This session will present CBIIT/NCI Medical Image De-Identification Datasets and Pipeline
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Session chair: Keyvan Farahani, PhD, Center for Biomedical Informatics and Information Technology, National Heart, Lung, and Blood Institute & National Cancer Institute, National Institutes of Health
Discussion of the approaches and challenges identified during the workshop and opportunities for the future.
Closing Remarks
12:50 pm - 1:00 pm Keyvan Farahani, PhD
1:00 pm - 1:10 pm Fred Prior, PhD, University of Arkansas for Medical Sciences
Synthetic Data for De-Identification Testing
The MIDI Datasets
1:10 pm - 1:20 pm Ben Kopchick, PhD, Deloitte Consulting
Building a cloud-based MIDI pipeline
1:20 pm - 1:50 pm Panel Discussion
Closing Remarks
1:50 pm - 2:00 pm EDT
David Clunie, MBBS, PixelMed, LLC
Keyvan Farahani, PhD, NHLBI & NCI, NIH
