Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
669-04-003 ISMRM Abstract

Clinical evaluation of deep learning accelerated 3D magnetic resonance cholangiopancreatography at 1.5T and 3T

Accepted
Ivan Jambor1,2, Ranjodh S Dhami3, Madhangi Parameswaran4, Eugene Milshteyn 5, Ajeetkumar Gaddipati5, MARY THOMAS5, Arnaud Guidon5, Azadeh Tabari3, Susie Huang6,7,8, Clare Tempany9, Mukesh G Harisinghani3, Rory L Cochran3
1Radiology Enterprise Service Group, Mass General Brigham, Somerville, United States of America
2Department of Radiology, University of Turku, Raisio, Finland
3Massachusetts General Hospital, Boston, United States of America
4Mass General Brigham, Somerville, United States of America
5GE HealthCare, San Ramon, United States of America
6Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
7Department of Radiology, Harvard Medical School, Boston, United States of America
8Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
9Department of Radiology, Brigham & Women’s Hospital, United States of America
Presenting Author: Eugene Milshteyn

Synopsis

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References

1. 1. Lebel RM: “Performance characterization of a novel deep learning-based MR image reconstruction pipeline,” Aug. 14, 2020, arXiv: arXiv:2008.06559. doi: 10.48550/arXiv.2008.06559. [doi]
2. 2. Ahn S, et al.: “Deep learning-based reconstruction of highly accelerated 3D MRI,” Mar. 09, 2022, arXiv: arXiv:2203.04674.

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