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F. Wagner, F. Raab, J. Wohlers, S. Varadarajan, J. Gühring, R. Schneider, J. Herrmann, K. Nikolaou, S. Afat, T. Küstner
Siemens Healthineers, Erlangen, Germany

Impact: This study provides new insights into MRI power use and on a per-sequence and protocol level. Initial findings of optimized magnet cooling and workflow optimization shows substantial potential to reduce idle power consumption in MRI operations, enhancing sustainability.

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A. Nazarov, D. Roizen, N. Kiryati, G. Grinberg, A. Mayer
Tel-Aviv University, Tel-Aviv, Israel

Impact: The proposed method enhances MRI sustainability by significantly reducing acquisition time, energy usage (approximately 60-75% reduction in gradient and RF power), and susceptibility artifacts. Improved efficiency enables sustainable imaging practices, benefiting clinical throughput in high-volume or resource-constrained settings.

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R. Ramasawmy, A. Campbell-Washburn
National Heart Lung and Blood Institute, Bethesda, United States

Impact: This is a preliminary study comparing the power efficiency of cardiac imaging across 0.55T and 1.5T field strengths.

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G. Raj, K. Gupta
Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India

Impact: New generation MR Units are efficient than older generation models with manufacturer enabled low power mode. Optimizing workflow and judiciously managing the low power mode results in significant decrease in long term energy costs without need for expensive software such as AI hardware modifications and goes a long way, especially in developing countries

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A. Tabari, M. Lang, W-C Lo, A. Becker, V. Deshpande, P. Su, S. Woolen, S. Huang
Massachusetts General Hospital, Boston, United States

Impact: The implementation of fast MRI sequences significantly reduced the acquisition times for common outpatient MRI protocols, leading to higher energy efficiency during active net scan time and system-on modes and ultimately substantial sustainability and cost-saving potential.

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Y. Jung, R. Alizadeh, S. Yoon, M. Corwin, L. Hacein-Bey, A. Hernandez
University of California, Davis, Sacramento, United States

Impact: Accelerated MRI with DLR enables significant clinical efficiency and sustainability improvements, facilitating rapid, high-quality imaging. Future studies can explore enhanced DLR algorithms, optimizing diagnostic performance while maximizing energy savings and emissions reductions across healthcare settings.

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H. Dillinger, R. Bruehl, D. Trepte, H. Duzinski, B. Ittermann
PTB Berlin, Berlin, Germany

Impact: Given the pressing need for reducing energy consumption and CO2 emissions world-wide, our work presents insights on how to tackle it in MRI without compromising on the image quality or patient experience.

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Z. Ye, J. Rivas
Stanford University, Stanford, United States

Impact: The proposed technology significantly improves the efficiency of RF power amplifiers, contributing to more sustainable MR systems. It also provides advantages by reducing both the cost and size of hardware, potentially increasing the accessibility and portability of MR systems.