迈向可持续的磁共振成像：基于整个扫描仪机队长期高分辨率能耗记录的见解
Towards Sustainable Magnetic Resonance Imaging: Insights from long-term, high-resolution energy recordings across an entire scanner fleet
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- Medical Image and Data Analysis (MIDAS.lab), Tübingen University Hospital（蒂宾根大学医院医学影像与数据分析（MIDAS实验室））
- Department of Diagnostic and Interventional Radiology, Tübingen University Hospital（蒂宾根大学医院诊断与介入放射科）
- Faculty of Computer Science, Eberhard Karls University of Tübingen（埃伯哈德·卡尔斯·蒂宾根大学计算机科学学院）
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中文总结 AI 辅助
本研究通过分析整个扫描仪机队的长期能耗记录，发现MRI单次测量和完整检查平均耗电0.43和13.50千瓦时，空闲与节能模式能耗占比高，且扫描时长比平均功率更能影响能耗，为可持续MRI提供了关键基线。
中文摘要 AI 辅助
磁共振成像（MRI）是医疗保健领域中能源消耗最高的诊断方式之一，然而其能耗及影响因素仍未得到充分理解。本研究旨在通过刻画整个扫描仪机队的能源需求、检查临床实践中的扫描仪利用率和运行模式，建立MRI能耗的全面基线。同时，研究探讨了能耗与相关操作及采集特征之间的关系。平均而言，单次MRI测量消耗0.43千瓦时，而一次完整检查消耗13.50千瓦时。总体来看，不同MRI扫描仪及其相应运行模式（扫描、空闲和节能模式）之间的能耗存在显著差异。这些差异可能与扫描仪运行模式、采用的检查协议及其产生的采集参数的不同有关。空闲和节能模式累计消耗的能源比主动扫描更多。然而，这些能耗份额应始终结合扫描仪占用率来解读，因为利用模式强烈影响这些运行模式之间的能源分布。最后，线性回归分析显示，能耗与扫描时长的关联强于与平均功率的关联，这表明扫描时长可能是影响MRI能耗的重要因素。
英文摘要
Magnetic resonance imaging (MRI) is among the most energy-intensive diagnostic modalities in healthcare, yet its energy consumption and the factors influencing it remain insufficiently understood. This study aims to establish a comprehensive baseline of MRI energy consumption by characterizing energy demand across a scanner fleet, examining scanner utilization and operating patterns in clinical practice. Concurrently, it investigates the relationships between energy consumption and relevant operational and acquisition features. On average, a single MRI measurement consumed 0.43 kWh, while a complete examination consumed 13.50 kWh. In general, substantial differences in energy consumption were observed between MRI scanners and their corresponding operating modes (scan, idle, and eco-power mode). These variations may be related to differences in scanner operating patterns, employed examination protocols, and their resulting acquisition parameters. Idle and eco-power modes accounted for more cumulative energy consumption than active scanning. However, these energy shares should always be interpreted in relation to scanner occupancy, as utilization patterns strongly influence the distribution of energy across those operating modes. Lastly, linear regression analysis showed that energy consumption was more strongly associated with scan duration than with average power, suggesting that scan duration may be an important factor influencing MRI energy consumption. ...
