Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
661-04-012 ISMRM Abstract

AI-Driven Workflow Optimization and Energy Efficiency in MRI: Toward Sustainable Imaging in Resource-Limited Settings

Accepted
GAURAV RAJ 1, Dr Kaustubh Gupta1,2
1DR RAM MANOHAR LOHIA INSTITUTE OF MEDICAL SCIENCES, LUCKNOW, India
2Radiodiagnosis, DR RAM MANOHAR LOHIA INSTITUTE OF MEDICAL SCIENCES, LUCKNOW, India
Presenting Author: GAURAV RAJ

Synopsis

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References

1. Heye T, Knoerl R, Wehrle T, et al. The energy consumption of radiology: energy- and cost-saving opportunities for CT and MRI operation. Radiology. 2020;295(3):593-605.
2. Woolen SA, Becker AE, Martin AJ, et al. Ecodesign and operational strategies to reduce the carbon footprint of MRI for energy cost savings. Radiology. 2023;307(2):e230441
3. COCIR. MRI — Measurement of Energy Consumption. Rev 1, 2012. Brussels: COCIR.
4. Alerte Z, Chodorowski M, Ammari S, et al. Towards sustainable magnetic resonance neuro-imaging: pathways for energy optimization and cost-reduction strategies. Appl Sci. 2025;15(3):1305.
5. Afat S, Wohlers J, Herrmann J, et al. Reducing energy consumption in musculoskeletal MRI using shorter scan protocols, optimized magnet cooling patterns, and deep learning sequences. Eur Radiol. 2025;35:1993-2004
6. Trenbath K. Medical Imaging Equipment Energy Efficiency. US DOE Better Buildings Technical Brief; 2021
7. Brown M, Schoen JH, Gross J, Omary RA, Hanneman K. Climate change and radiology: impetus for change and a toolkit for action. Radiology. 2023;307(1):e230229.
8. COCIR. Guidelines for Users on Saving Energy with MRI. Brussels: COCIR; 2015
9. Hanneman K, et al. Environmental sustainability in cardiovascular MR: recommendations from the Society for Cardiovascular MR. J Cardiovasc Magn Reson. 2025;27

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