MR uses liquid helium as a coolant to give the magnet superconductive properties that allow it to generate a strong magnetic field. Liquid helium is not only expensive and challenging to harness, but it is also becoming scarce. For this reason, our engineers have worked tirelessly to improve existing zero-boil-off technology to further reduce helium consumption. The result of this work is our latest advanced cryogen management technology, which conserves helium through intelligent installation, clinical operation and servicing. It saves you money and conserves this precious natural resource. That’s what we call a “green” MR.

The user interface, or UI, is the graphical interface you interact with to get a piece of technology to do what you want it to do. A good UI design is so easy to use that you can figure out how it works just by looking at it, which is important for training people new to MR.

MR uses a reconstruction algorithm to take the raw image data and translate it into an image. AIR™ Recon DL is a deep learning based reconstruction algorithm. Deep learning is a type of artificial intelligence, or AI, that trains the algorithm to automatically identify and remove artifacts from images, making them clearer, sharper and easier to read as well as faster to acquire.