NIH | National Cancer Institute | NCI Wiki  

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 54 Next »

The Medical Imaging De-Identification workshop is being offered to examine the state of the science for the de-identification of publicly released medical images. The primary emphasis is on medical images with accompanying data elements, especially those encoded in formats in which the data elements are embedded, particularly DICOM. The sessions described below make up the workshop.

Please register here.

DAY 1, May 22, 2023 (10:00 am - 2:00 pm EDT) 

Welcome and Opening Comments

Keyvan Farahani, PhD, National Heart, Lung, and Blood Institute & National Cancer Institute, National Institutes of Health

Session 1: Report of the MIDI Task Group - Best Practices and Recommendations

10:10 am - 11:00 am EDT

Session Chair: David Clunie, MBBS, PixelMed

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 2: Tools for Conventional Approaches to De-Identification

11:00 am - 12:00 pm EDT

In this session, speakers will share methods currently in use for medical de-identification.

Session Chair: Fred Prior, PhD, University of Arkansas for Medical Sciences

11:00 am - 11:10 am   Fred Prior, PhD, University of Arkansas for Medical Sciences 

11:10 am - 11:20 am   Michael Rutherford, PhD, University of Arkansas for Medical Sciences 

11:20 am - 11:30 am   Stephen Moore, MS, Washington University School of Medicine in St. Louis

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: William Parker, MD, University of British Columbia

12:00 pm - 12:10 pm     William Parker, MD, University of British Columbia

12:10 pm - 12:20 pm     Speaker 1 (TBA)

12:20 pm - 12:30 pm     Speaker 2 (TBA)

12:30 pm - 12:40 pm     Discussion

Session 4: Industry Approaches to De-Identification

12:40 pm - 1:50 pm EDT

This session, largely a panel discussion, will feature flash presentations by industry groups and discuss their innovative approaches to image de-identification.

Session chair:  Juergen Klenk, PhD, Deloitte Consulting

Panelists:

Day 1 Closing Remarks

David Clunie, MBBS, PixelMed, Inc.

DAY 2, May 23, 2023 (10:00 am - 2:00 pm EDT) 

Welcome and Recap

David Clunie, MBBS, PixelMed, Inc.

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

10:10 am - 10:20 am   Adam Taylor, PhD, Sage Bionetworks

10:20 am - 10:30 am   Tom Bisson, PhD, Charité Universitätsmedizin Berlin 

10:30 am - 10:40 am   David Gutman, MD, PhD, Emory University

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

11:00 am - 11:10 am   Ying Xiao, PhD, University of Pennsylvania

11:10 am - 11:20 am   Christopher Schwarz, PhD, Mayo Clinic

11:20 am - 11:30 am   Douglas Greve, PhD, MGH/Harvard

11:30 am - 11:50 am   Panel Discussion

Break 11:50 am - 12:00 pm

Session 7: The Role of AI in Image in De-Identification

12:00 pm - 12:50 pm

In this session, researchers discuss the utility of AI algorithms in image de-identification.

Session chair: Judy Wawira Gichoya, MD, MSEmory University

12:00 pm - 12:10 pm  Judy Wawira Gichoya, MD, Emory University

12:10 pm - 12:20 pm  George Shih, MD, Weill Cornell Medical College

12:20 pm - 12:30 pm  Adrienne Kline, MD, PhD, Northwestern University 

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

Session chair: Keyvan Farahani, PhD, National Heart, Lung, and Blood Institute & National Cancer Institute, National Institutes of Health

12:50 pm - 1:00 pm  Keyvan Farahani, PhD

1:00 pm - 1:10 pm   Fred Prior, PhD, University of Arkansas for Medical Sciences

1:10 pm - 1: 20 pm  Ben Kopchick, PhD, Deloitte Consulting

1:20 pm - 1:50 pm   Panel Discussion

Closing Remarks

David Clunie, MBBS, PixelMed, Inc.

Keyvan Farahani, PhD, NHLBI & NCI, NIH