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Siemens Healthineers DI Sustainability in radiology Teaserimage Save energy

How to save energy with your imaging equipment

Healthcare consumes energy. Because every action to preserve resources counts, we create new possibilities in a world of limited resources. 

We are committed to achieving net-zero emissions by 2050 and to helping you reach your targets for sustainability in radiology with our products and services. Below you will find a range of energy saving guides for various imaging systems, e.g. more sustainable CT and reduced MRI electricity consumption, as well as real-life examples of how resource preservation can make a big difference on our joint journey towards green medical imaging.

Best practices for energy-saving in radiology and therapy

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How to save energy in advanced therapies

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CT energy savings with SOMARIS /10

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CT energy efficiency with SOMARIS /7

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How to reduce MRI energy consumption

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How to save energy in ultrasound

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How to save energy with Varian C-Series Clinac systems 

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How to save energy with Varian TrueBeam and Halcyon systems 

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How to save energy in X-ray products

Reducing the need for helium

About a quarter of the helium consumed worldwide is used for the extreme cooling of superconducting magnets, and demand is on the rise. Because helium is such a rare resource on Earth, it makes sense to use it economically.

While conventional MRI scanners can require over 1,000 liters of liquid helium for cooling1, new technologies limit the mass of parts that need to be heavily cooled to a minimum, reducing the amount of liquid helium required to less than one liter.2

Avoiding the need for helium not only conserves valuable environmental resources. New technologies are also easier and cheaper to install than is usually the case for a conventional MRI system.

Our highlight solutions

MAGNETOM Flow. Platform (60/70)

MAGNETOM Flow. Platform

MAGNETOM Flow. Platform3 is the anticipated pioneering 1.5T MRI platform that will empower you with a game-changing new flow for sustainable, AI-powered and helium-independent4 MRI. Designed to be our first fully scalable platform, it is planned to deliver unmatched workflow simplicity, patient comfort and AI-enhanced imaging.

Sustainability in MRI

Green imaging in MRI

We provide technological solutions for MRI energy consumption that reduce the ecological footprint of MRI and contribute to a more sustainable future in healthcare.

Real life examples

Lowering costs at peak efficiency

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We have helped DIE RADIOLOGIE, a leading German radiology practices network, reduce scan times and energy consumption by 43%, lowering costs while operating at peak efficiency5. See how DIE RADIOLOGIE lowered their MRI power consumption for a more sustainable radiology department.

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DIE RADIOLOGIE, a leading German radiology practices network
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Optimizing sustainable radiology

Research at University Hospital Basel, Switzerland, has identified numerous ways of making imaging more sustainable in radiology. We work closely with Professor Elmar Merkle, Head of the Radiology and Nuclear Medicine Department, regarding energy consumption in medical imaging.

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Reimagining radiology

Healthcare accounts for nearly 5% of global CO2 emissions. The advanced technology used in radiology departments is especially energy-intensive, with MRI systems consuming the most energy. Our latest generation MRI scanners are equipped with a “power save” mode, a novel feature that decreases power use by up to 28% when compared to “off” mode. We've partnered with University of California San Francisco to turn the vision of achieving the first carbon-neutral radiology service into reality.

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MAGNETOM Flow. Platform with 60 cm bore size is not available for sale in the U.S.A. 
MAGNETOM Flow. Platform with 70 cm bore size is currently under development. Their future availability cannot be guaranteed.
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0.7 l of liquid helium.
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The results by Siemens Healthineers’ customers described herein were achieved in the customer's unique setting. Because there is no “typical” hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results.