Canon Medical introduces LB CT scanner for oncology workflows

26 October 2020 (Last Updated October 26th, 2020 14:24)

Canon Medical Systems USA is set to introduce the Aquilion Exceed LB CT system with the latest simulation capabilities for radiation oncology.

Canon Medical introduces LB CT scanner for oncology workflows
Aquilion Exceed LB CT system features the latest simulation capabilities for radiation oncology. Credit: Romanukraina / Shutterstock.

Canon Medical Systems USA is set to introduce the Aquilion Exceed LB CT system with the latest simulation capabilities for radiation oncology.

The system, which yet to obtain 510(k) market clearance, is developed to provide radiation oncologists with fast radiation oncology workflows.

It features 90cm large bore opening, 90cm field-of-view, as well as 4cm reconstruction and wide detector coverage.

Additionally, Aquilion provides sharp, clear and distinct images, leveraging Canon Medical’s Advanced intelligent Clear-IQ Engine (AiCE) Deep Learning Reconstruction (DLR) technology.

Due to its extended capabilities, the system is positioned for shared services to facilitate treatment follow-up and interventional procedures.

Canon Medical Systems USA CT Business Unit managing director Erin Angel said: “Accurate simulation across even the most challenging treatment plans is imperative during radiation therapy planning.

“At Canon Medical, we deliver solutions that meet providers’ needs but also push the boundaries of traditional simulation.

“With the Aquilion Exceed LB, we brought deep learning reconstruction to the CT simulation space. This will revolutionise care for cancer patients and give the radiation oncology team the confidence and precision they need for accurate planning across patients.”

Approximately 1.8 million new cancer cases are estimated to be diagnosed in the US this year alone.

In February, Canon Medical secured 510(k) clearance from the Food and Drug Administration (FDA) for the Aquilion ONE / PRISM Edition, which enables Deep Learning Spectral capabilities for more routine spectral imaging.

In 2018, the company introduced a deep convolutional neural network image reconstruction technology of CT scans.