April 30, 2021 — Canon Medical is bringing the facility of accessible artificial intelligence (AI) for improved picture high quality to extra sufferers with expanded scientific indications for 3T MR. Advanced intelligent Clear-IQ Engine (AiCE) Deep Studying Reconstruction (DLR) can now be used for 96 p.c of all procedures utilizing the Vantage Galan 3T MR system, increasing from beforehand FDA-cleared mind and knee indications to a vastly bigger variety of scientific indications, from prostate to shoulders, together with all joints, cardiac, pelvis, stomach and backbone.
AiCE was skilled utilizing huge quantities of high-quality picture knowledge, and encompasses a deep studying neural community that may cut back noise and increase sign to rapidly ship sharp, clear and distinct photos, permitting clinicians to spice up picture high quality, efficiency, productiveness and throughput on a complete new scale.
“With this enlargement of AiCE, Canon Medical now provides superior AI expertise on its 1.5T and 3T MR methods,” stated Mark Totina, managing director, MR Enterprise Unit, Canon Medical Techniques USA, Inc. “Canon Medical stays dedicated to creating photos straightforward to learn and purchase, and this enlargement additional demonstrates our dedication to providing accessible AI that clinicians can use to make the best impression on affected person care.”
With the enlargement of indications, Canon Medical’s AiCE Problem has additionally expanded. To see in the event you can inform the distinction between 1.5T AiCE and conventional 3T picture high quality, take the AiCE Challenge as we speak.
As a part of the unique AiCE Problem, radiologists and technologists had been requested if they may inform the distinction between photos taken on the Vantage Orian 1.5T system utilizing AiCE with customary 3T MRI photos with the identical acquisition protocol for each scanners. Half of the time respondents had problem differentiating between 3T photos with out AiCE and Orian 1.5T photos with AiCE utilized. This subsequent part of the problem will give attention to physique imaging, the place the earlier problem targeted on mind and knee photos.
For extra data: global.medical.canon