Educational Course
Junior Fellows Symposium:
The Environmental Impact of MRI
Back to Program-at-a-Glance
Session Topic: Educational Q&A: Value
Session Sub-Topic: Junior Fellows Symposium: The Environmental Impact of MRI
Weekday Course
ORGANIZERS: Timothy Bray, Stefanie Hectors, Nicole Seiberlich, Esther Warnert
| Monday Parallel 1 Live Q&A | Monday, 10 August 2020, 15:15 - 16:00 UTC | Moderators: Stefanie Hectors & Esther Warnert |
Skill Level: Basic
Session Number: W-03
Overview
The use of MRI around the world is growing rapidly and is projected to continue to increase. Energy consumption for MRI is high compared with alternative modalities such as CT and ultrasound, whilst patient throughput is typically substantially lower. This session will consider the energy consumption of MRI scanning and environmental issues around making and disposing of MRI scanners and will consider proposed methods for reducing impact in the future.
Target Audience
Any clinician, scientist or imaging professional interested in learning more about the impact of MRI on the environment.
Educational Objectives
As a result of attending this course, participants should be able to:
- Describe typical energy consumption of MRI scanners;
- List the steps involved in the manufacture, disposal and/or recycling of MRI scanners; and
- Articulate resource limitations around helium and the biologic fate of gadolinium-based contrast agents.
| Energy Consumption by MRI Scanners
Alastair Martin
|
||
| The Biological Fate of Gadolinium
Peter Caravan
|
||
| Getting Rid of Helium in MRI
Andrew Webb
|
||
 |
Engineering Solutions: Low-Field MRI
Rajiv Ramasawmy
Systems with lower magnetic field strengths may reduce the environmental impact of MRI and could be combined with other engineering, efficiency and disposal solutions. Although these low field designs may not be suitable for all diagnostic imaging demands, all of these approaches towards lower field systems can pave the way towards both sustainable and accessible MRI.
|
|
| Composite Recycled Permanent Magnet for MR Screening Device
Sunita Gudwani
|
||
| A Real-Time Updating Transport & Scheduling System Based on Machine Learning
Thomas Lindner
|
Watch the Video
Back to Top