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Canon has announced that its new Advanced Intelligent Clear-IQ Engine (AiCE) has been cleared by the FDA to be used on the company’s “ultra high-resolution” Aquilion Precision CT system. The use of the AiCE deep convolutional neural network for image reconstruction, coupled with the Aquilion Precision’s ability to get about twice as much resolution in an image compared with conventional CT, should allow clinicians to diagnose conditions based on smaller anatomy than before and to see lesions that were previously difficult to spot.
The AiCE software relies on a learning algorithm to separate the signal from the noise in imaging data coming from the CT. This effectively boosts the image fidelity and allows important points of interest to better stand out.
In some cases this level of imaging can be overkill, so clinicians can choose to lower the radiation dose delivered while retaining the level of imaging necessary for every exam.
“As we strive for precision medicine, we realize the importance of starting with the foundation of a precise diagnosis. Canon Medical is committed to developing intelligent solutions that help providers generate clearer, more holistic images to help achieve better outcomes, without increasing dose,” said Tim Nicholson, acting managing director, CT Business Unit, Canon Medical Systems USA. “This technology represents a new era in image reconstruction, which may help provide more possibilities in improving patient care than ever before.”
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