Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
351-02-012 / 351-02-012 ISMRM Abstract

Impact of Deep Resolve Boost reconstruction on image quality of lumbar spine imaging at 0.55T

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Musculoskeletal - Other Musculoskeletal
351-02-012 · MSK: Everything, Everywhere, and All at Once · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 1
351-02-012 · MSK: Everything, Everywhere, and All at Once · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 1
Keywords: 0.55T Image Denoising Lumbar Spinal MRI
Accepted
Virginie Kreutzinger1,2, Katharina Ziegeler2, Pan Su3, Marcel Dominik Nickel4, Sharmila Majumdar2,5, Daehyun Yoon 2
1School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Technical University Munich, Munich, Germany
2Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, United States of America
3Siemens Medical Solutions, USA, Inc., Malvern, Pennsylvania, United States of America
4Siemens Healthineers AG, Forchheim, Germany (DE), Forchheim, Germany
5Department of Radiology and Biomedical Imaging, University Of California, San Francisco (UCSF), United States of America
Presenting Author: Daehyun Yoon

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. 1. Gassenmaier S, Afat S, Nickel D, Mostapha M, Herrmann J, Othman AE. Deep learning-accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality. Eur J Radiol. 2021;137:109600. https://doi.org/10.1016/j.ejrad.2021.109600 [doi]
2. 2. Herrmann J, Koerzdoerfer G, Nickel D, Mostapha M, Nadar M, Gassenmaier S, et al. Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging. Diagnostics. Multidisciplinary Digital Publishing Institute; 2021;11:1484. https://doi.org/10.3390/diagnostics11081484 [doi]
3. 3. Estler A, Hauser T-K, Brunnée M, Zerweck L, Richter V, Knoppik J, et al. Deep learning-accelerated image reconstruction in back pain-MRI imaging: reduction of acquisition time and improvement of image quality. Radiol Med. 2024;129:478–87. https://doi.org/10.1007/s11547-024-01787-x [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/351-02-012