With extended therapeutic indications for 3T MR, Canon Medical is adding the potential of open artificial intelligence (AI) for better image quality to more patients. The Vantage Galan 3T MR system’s Advanced intelligent Clear-IQ Engine (AiCE) Deep Learning Reconstruction (DLR) will now be used for 96 percent of all procedures, extending from previously FDA-cleared brain and knee indications to a vastly greater range of clinical indications, ranging from prostate to knees, including all joints, abdominal, pelvis, belly, and spine.
AiCE was trained with the help of a deep learning neural network that can minimize noise and enhance signal to easily produce sharp, transparent, and distinct images, enabling clinicians to improve image quality, accuracy, efficiency, and throughput on a whole new level.
“Canon Medical now provides innovative AI technologies on its 1.5T and 3T MR platforms, thanks to the growth of AiCE,” said Mark Totina, managing director, MR Business Unit, Canon Medical Systems USA, Inc. “Canon Medical is committed to making pictures simple to read and receive, and this extension reflects our contribution to providing open AI that physicians can use to improve patient care.”
Canon Medical’s AiCE Challenge has grown in scope with the addition of new indications. To see if you can tell the difference between 1.5T AiCE and conventional 3T image consistency, taking the AiCE Challenge today.
Radiologists and technologists were asked if they could say the difference between images captured on the Vantage Orian 1.5T device using AiCE and regular 3T MRI images using the same acquisition protocol for both scanners as part of the original AiCE Challenge.
Respondents had trouble distinguishing between 3T images without AiCE and Orian 1.5T images with AiCE added half of the time. The next iteration of the competition will concentrate on body images, as opposed to the previous challenge, which concentrated on brain and knee images.