Canon launches AI-automated MRI planning solution to ease waiting list backlogs

An AI solution to help speed up MRI planning time and alleviate pressure on radiology services has been launched in the UK by Canon Medical Systems. Auto Scan Assist utilises deep learning and machine learning to enhance diagnostic imaging of liver, prostate and whole spine examinations.

The software has been designed to help healthcare providers speed up MRI appointments by automating slice alignment for a growing range of anatomical examinations. Early data indicates that Auto Scan Assist can reduce workload burden on MRI radiographers by up to 80 per cent and increase the potential number of MRI examinations and procedures carried out. A 75 per cent reduction in operating time and workflow enhancements can improve patient comfort by reducing examination times.

Gie Var Ouest clinic in Ollioules, France, is an early adopter of the software, using a Canon Medical Vantage Orian MRI system. Referring MRI technician Frédéric Martin said: “After two or three days of adaption, the team has utmost confidence in the AI automation positioning techniques, which allow them to concentrate on other more rewarding tasks such as post processing tasks. Today, 85 per cent of knee examinations are performed using this technique.”

The practical applications of Auto Scan Assist include ProstateLine+ for automatic slice orientation and positioning for axial, sagittal and coronal planes based upon Pi-Rad standards, plus details and exact slice orientation and positioning parallel and/or perpendicular to urethra for prostate examinations; LiverLine+ and SURE VOI Liver for automatic slice orientation and positioning for 2D RMC Probe, Visual Prep, MRCP and liver examinations; and W-SpineLine+ to enable planning of spine and set up double-oblique slices to enhance the reproducibility of follow-up examinations.

Enhancement of the Auto Scan Assist packages builds on the previously named EasyTech applications for MRI that include automatic planning for spine, knee and cardiac.

Canon MRI modality manager Vanessa Ellis commented: “With UK diagnostic strategies aiming for community-based hubs and centres to catch up on waiting list backlogs and provide additional capacity for a growing need for front-line imaging procedures, the productivity gains of advanced AI innovation in healthcare technology is vital. This is not about conceptual theory or early research, but real and ready applications that can rapidly help UK healthcare with its greatest challenges.”

Picture: Auto Scan Assist helps speed up MRI planning time to alleviate pressure on radiology services.

Published on page 12 of the March 2023 issue of RAD Magazine.