Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
360-02-016 ISMRM Abstract

Use of Deep Learning Acceleration to Improve Throughput on a 0.55T High-Access System in Rural Under-Resourced Settings

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Neuro
360-02-016 · Machine Learning for Image Reconstruction · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row A
Keywords: Deep learning reconstruction 0.55T Mid-field MRI Low field Under-Resourced Settings
Accepted
Devasenathipathy Kandasamy1, Yatin sharma 2, Vikas Gulani3, Benjamin Schmitt4, Raju Sharma5
1Department of Radio Diagnosis, All India Institute of Medical Sciences, New Delhi, India
2MR Research Collaboration, Siemens Healthineers, India
3Department of Radiology, University of Michigan, Ann Arbor, United States of America
4Siemens Healthcare Pty Ltd, Brisbane, Australia
5All India Institute of Medical Sciences, New Delhi, India
Presenting Author: Yatin sharma

Synopsis

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References

1. World Health Assembly. Resolution WHA78.13: Strengthening Imaging Capacity. World Health Organization; Geneva, May 27 2025.
2. Liu Y, Leong ATL, Zhao Y, et al. A low-cost and shielding-free ultra-low-field brain MRI scanner. Nat Commun. 2021;12:7238. doi:10.1038/s41467-021-27317-1 [doi]
3. Griswold MA, Jakob PM, Heidemann RM, Nittka M, Jellus V, Wang J, Kiefer B, Haase A. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med. 2002;47(6):1202-1210. doi:10.1002/mrm.10171. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/360-02-016