Reducing energy consumption in musculoskeletal MRI using shorter scan protocols, optimized magnet cooling patterns, and deep learning sequences.

Saif AfatJulian WohlersJudith HerrmannAndreas S BrendlinSebastian GassenmaierHaidara AlmansourSebastian WernerJan M BrendelAlexander MikaChristoph ScheriebleMike NotohamiprodjoSergios GatidisKonstantin NikolaouThomas Küstner

Published in: European radiology (2024)

Optimization of protocol settings reduced energy consumption by 31% and imaging time by 18%. DL technologies led to a 72% reduction in energy consumption of and a 71% reduction in time, compared to the standard MRI protocol. During non-scanning times, activating Eco power mode (EPM) resulted in a 30% reduction in energy consumption, saving 4881 € ($5287) per scanner annually.

Keyphrases

deep learning
magnetic resonance imaging
high resolution
randomized controlled trial
contrast enhanced
computed tomography
signaling pathway
machine learning
photodynamic therapy
image quality
fluorescence imaging