Energy consumption in MRI: Determinants and management options

被引:1
|
作者
Chodorowski, Mateusz [1 ]
Ognard, Julien [1 ]
Rovira, Alex [2 ,3 ]
Gentric, Jean-Christophe [1 ,4 ]
Bourhis, David [4 ,5 ]
Ben Salem, Douraied [1 ]
机构
[1] Univ Brest, CHU Brest, Serv Imagerie Med, Blvd Tanguy Prigent, F-29609 Brest, France
[2] Univ Bretagne Occidentale, Inserm, UMR 1101, Lab Traitement Informat Med LaTIM, 22 Ave C Desmoulins, F-29238 Brest 3, France
[3] Univ Autonoma Barcelona, Hosp Univ Vall dHebron, Dept Radiol, Sect Neuroradiol, Barcelona, Spain
[4] Univ Bretagne Occidentale, Western Brittany Thrombosis Study Grp, Inserm, UMR 1304,GETBO, Brest, France
[5] CHU Brest, Serv Phys Med, Brest, France
关键词
MRI; Energy consumption; Green radiology; Stand-by mode; HEALTH;
D O I
10.1016/j.neurad.2023.12.001
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Energy consumption awareness is a known concern, and radiology departments have energyintensive consuming machines. The means of energy consumption management in MRI scanners have yet to be evaluated. Purpose: To measure the MRI energy consumption and to evaluate the means to reduce it. Materials and methods: Data was retrieved for two MRI scanners through the hospital's automated energy consumption measurement software. After correlation with picture archiving and communication system (PACS) files, they were segmented by machine and mode (as follows: stand-by, idle and active) and analyzed. Active mode data for a specific brain MRI protocol have been isolated, and equivalent low energy consuming protocol was made. Both were performed on phantom and compared. Same protocol was performed on a phantom using 3.0T 16 and 32 head channels coils. Multiples sequences were acquired on phantom to evaluate power consumption. Results: Stand-by mode accounted for 60 % of machine time and 40 % of energy consumption, active mode accounted for 20 % machine time and 40 % energy consumption, idle mode for 20 % imachine time and 20 % consumption. DWI and TOF sequences were the most consuming in our brain-MRI protocol. The low energy consuming protocol allowed a saving of approximately 10 % of energy consumption, which amounted for 0.20euro for each examination. This difference was mainly due to an energy consumption reduction of the DWI sequence. There were no difference in consumption between a 3.0T 16 and 32 channels head coils. Sequence's active power and duration (especially considering slice thickness) have to be taken into account when trying to optimize energy consumption. Conclusion: There are two key factors to consider when trying to reduce MRI scan energy consumption. Stand-by mode energy consumption has to be taken into account when choosing an MRI scan, as it can't be changed further on. Active mode energy consumption is dependent of the MRI protocols used, and can be reduced with sequences adaptation, which must take into account sequence's active power and duration, on top of image quality. (c) 2023 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:182 / 189
页数:8
相关论文
共 50 条
  • [1] Evaluating Municipal Water Management Options with the Incorporation of Water Quality and Energy Consumption
    Yilin Zhuang
    Qiong Zhang
    [J]. Water Resources Management, 2015, 29 : 35 - 61
  • [2] Evaluating Municipal Water Management Options with the Incorporation of Water Quality and Energy Consumption
    Zhuang, Yilin
    Zhang, Qiong
    [J]. WATER RESOURCES MANAGEMENT, 2015, 29 (01) : 35 - 61
  • [3] Determinants of household energy consumption in India
    Ekholm, Tommi
    Krey, Volker
    Pachauri, Shonali
    Riahi, Keywan
    [J]. ENERGY POLICY, 2010, 38 (10) : 5696 - 5707
  • [4] Determinants of renewable energy consumption in Africa
    Ergun, Selim Jurgen
    Owusu, Phebe Asantewaa
    Rivas, Maria Fernanda
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (15) : 15390 - 15405
  • [5] Determinants of renewable energy consumption in Africa
    Selim Jürgen Ergun
    Phebe Asantewaa Owusu
    Maria Fernanda Rivas
    [J]. Environmental Science and Pollution Research, 2019, 26 : 15390 - 15405
  • [6] Energy Consumption Management
    Kaufman, Phil
    Walker, Marcia
    [J]. CONTROL ENGINEERING, 2010, 57 (02) : 10 - 12
  • [7] DEMOGRAPHIC DETERMINANTS OF ENERGY CONSUMPTION IN EU COUNTRIES Is energy consumption dependent on demographic processes?
    Strmota, Marin
    [J]. CONFERENCE PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON THE ECONOMICS OF DECOUPLING, ICED 2020, 2020, : 177 - 191
  • [8] Determinants and approaches of household energy consumption: A review
    Tran, Le Na
    Cai, Gangwei
    Gao, Weijun
    [J]. ENERGY REPORTS, 2023, 10 : 1833 - 1850
  • [9] On the determinants of renewable energy consumption: International evidence
    Omri, Anis
    Nguyen, Duc Khuong
    [J]. ENERGY, 2014, 72 : 554 - 560
  • [10] Determinants of measured energy consumption in public housing
    Lawrence Berkeley Lab, United States
    [J]. Energy Syst Policy, 1988, 1 (13-31):