Meeting Banner
Abstract #2649

Deep Learning Reconstruction Enables Accelerated Prostate MRI Without Compromising Reader-Assessed Visual Quality

Stefan J. Fransen1, Quintin van Lohuizen1, George Yiasemis2, Jasper J. Twilt3, Christian Roest1, Yuki Arita4, Jaap Borstlap5, Jurgen J. Fütterer3, Maarten de Rooij3, Dennis B. Rouw6, Ivo G. Schoots2,7, Baris Turkbey8, Samuel J. Whitney9, Frank F.J. Simonis10, Jonas Teuwen2, Henkjan Huisman3, Derya Yakar1,2, and Thomas C. Kwee1
1Radiology, University Medical Center Groningen, Groningen, Netherlands, 2Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands, 3Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands, 4Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 5Radiology, Treant hospital, Emmen, Netherlands, 6Radiology, Martini ziekenhuis, Groningen, Netherlands, 7Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, Netherlands, 8Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Washington, WA, United States, 9Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 10Magnetic Detection and Imaging, University of Twente, Enschede, Netherlands

Synopsis

Keywords: AI/ML Image Reconstruction, AI/ML Image Reconstruction, Deep learning; prostate cancer; image quality; radiologist assessment

Motivation: MRI demand for prostate cancer detection is rising, necessitating reduced scan times. While deep learning (DL) shows promise for accelerating MRI, the perceived visual quality of DL-reconstructed images by expert radiologists remains underexplored.

Goal(s): To assess expert radiologists’ perceived visual quality of DL-reconstructed prostate MRI scans with various acceleration factors (3x, 6x).

Approach: A retrospective study with 120 prostate MRIs was conducted. Expert radiologists evaluated image quality using a split-plot design and ordinal mixed-effects modeling.

Results: Up to 6x acceleration did not significantly reduce perceived image quality. Interestingly, 3x accelerated images even improved perceived quality compared to non-accelerated images.

Impact: DL-based reconstruction can generate high-quality T2-weighted prostate MRIs from accelerated acquisitions without any perceived loss in overall visual quality by expert radiologists compared with the original non-accelerated images.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Abstract

Keywords