FDA gives thumbs up for Canon's deep learning image reconstruction tech

por John R. Fischer, Senior Reporter | June 20, 2019
CT X-Ray
Advanced Intelligent Clear-IQ
Engine (AiCE)
The FDA has given Canon Medical Systems USA the go-ahead to commence distribution of its deep convolutional neural network (DCNN) image reconstruction technology for CT.

Advanced Intelligent Clear-IQ Engine (AiCE) is capable of suppressing noise and enhancing signal with its deep learning algorithm for sharper images scanned on Canon’s premium imager, Aquilion ONE GENESIS.

“Our AiCE technology utilizes a next-generation approach to CT image reconstruction, further proving Canon Medical’s leadership and commitment to innovation in diagnostic imaging,” said Dominic Smith, senior director of CT, PET/CT, and MR Business Units at Canon Medical Systems USA, in a statement. “This technology doesn’t just meet our customers’ evolving needs, it exceeds them, opening doors to clearer, more precise images to help optimize patient care.”
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Learning from the high image quality of model-based iterative reconstruction (MBIR), the algorithm reconstructs CT images with improved spatial resolution and at a rate that is three to five times faster than conventional MBIR. It utilizes thousands of features learned during training to distinguish signal from noise for improved resolution, and applies a pre-trained DCNN to enhance spatial resolution and reduce noise at the same time. This allows for reconstruction to take place at a pace fast enough for busy clinical environments.

In the U.S., AiCE is only cleared for the Aquilion ONE / GENESIS.

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