Motivation: MRI significantly contributes to healthcare-related greenhouse gas emissions; therefore, reducing MRI energy use through accelerated imaging and deep-learning reconstruction (DLR) is essential.
Goal(s): To quantify the energy savings and emissions reductions achievable using accelerated MRI combined with DLR, while ensuring minimal compromise in image quality.
Approach: Energy consumption was measured on three 3T MRI scanners during standard and accelerated imaging with DLR, validated using ACR phantom tests and human subject imaging.
Results: Accelerated MRI with DLR reduced scan times and energy consumption by 3–5 times without compromising diagnostic image quality, yielding potential institutional savings of 74.1 metric tons of CO₂eq emissions annually.
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.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords