@misc{321de3caaa26453e95f653178daf73ea,
title = "MRI Load Profile Characterization Across Scanner Manufacturers and Field Strengths - Opportunities for Energy Efficiency Improvements",
abstract = "Radiology plays a vital role in patient care, but a reliance on energy-intensive imaging equipment leads to significant greenhouse gas emissions. MRI scanners can consume up to 80% of their total energy during times when there is not active patient imaging. Characterizing MRI average power and time to enter low-power mode across scanning protocols can identify energy efficiency opportunities.",
keywords = "emissions, low-power, medical imaging equipment, MRI",
author = "Omkar Ghatpande and Kim Trenbath and Gus Robinson and {Van Sant}, Amy and Daniel Mendonsa and Rex Pillai and Elizabeth Morris and Youngkyoo Jung and Andrew Hernandez",
year = "2023",
language = "American English",
series = "Presented at the Radiology Conference & Annual Meeting (RSNA), 27-30 November 2023, Chicago, Illinois",
type = "Other",
}
