Friday, December 2, 2022

Canon Medical Receives FDA Clearance for Aquilion ONE / PRISM Edition, Enabling Deep Learning Spectral Capabilities for Routine Use

Spectral CT with Advanced intelligent Clear-IQ Engine (AiCE) Empowers Physicians with Deep Intelligence to Enable Routine Confident Diagnoses

Canon Medical Systems USA, Inc. has received 510(k) clearance for the Aquilion ONE / PRISM Edition, enabling Deep Learning Spectral capabilities that allow for more routine spectral imaging.

Designed for deep intelligence, the advanced system integrates artificial intelligence (AI) technology to maximize conventional and spectral CT capabilities with automated workflows, while providing deep clinical insights to assist physicians in making more informed decisions across the patient’s care cycle.

An innovative approach to CT reconstruction, Advanced intelligent Clear-IQ Engine (AiCE) on the Aquilion ONE / PRISM Edition uses Deep Learning to distinguish true signal from noise to deliver sharp, clear and distinct images at fast speeds. Trained using vast amounts of high-quality image data, AiCE provides enhanced anatomical resolution across the whole body including brain, lung, cardiac and musculoskeletal applications. By enabling Deep Learning Spectral reconstruction, the Aquilion ONE / PRISM Edition helps physicians make more confident diagnoses with the spectral benefits of rapid kV switching with patient-specific mA modulation, full field of view acquisition and 16 cm of coverage, overcoming traditional trade-offs with spectral imaging. The fully integrated end-to-end workflow is seamless and can be incorporated into routine protocols.

“Canon Medical’s DLR technology is pushing routine diagnostic imaging into the age of AI assisted imaging, revolutionizing patient care by enabling excellent diagnostic confidence,” said Erin Angel, managing director, CT Business Unit, Canon Medical Systems USA, Inc. “With Deep Learning Spectral, Canon Medical is able to provide clinicians with a spectral CT system designed to address the trade-offs of traditional spectral CT and potentially expanding the utilization to more routine CT imaging.”

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