Carestream’s AI-Powered Smart Noise Cancellation Technology Allows Radiologists to Reduce Dose without Loss of Image Quality

Carestream Health’s (Rochester, NY, USA) groundbreaking Smart Noise Cancellation (SNC) technology offers an artificial intelligence (AI)-based feature that allows radiologists to reduce dose without loss of image quality.

SNC provides improved diagnostic quality, preservation of fine detail and better contrast-to-noise ratio for images acquired at clinically nominal exposures. SNC addresses a long-standing challenge in medical imaging of separating noise from an image. Traditional noise reduction introduces blurring, which degrades image sharpness and might remove important anatomical information. Conversely, the more an image is sharpened, the more noise may be enhanced. Carestream’s SNC overcomes this gridlock by isolating noise to produce images that are significantly clearer than with standard processing.

When combined with SmartGrid software, Carestream’s SNC technology promises benefits in gridless imaging where the removal of scatter typically leads to an increase in noise appearance. Carestream’s SNC software is available as an option with the company’s ImageView Software powered by Eclipse - the intelligent image-processing engine behind its innovative imaging software. SNC is currently available on Carestream’s DRX-Evolution and DRX-Evolution Plus systems. Carestream’s SNC technology has also received FDA 510(k) Clearance for its dose reduction capability.

“Carestream is continuously focused on reducing radiation dose without sacrificing image quality,” said Ron Muscosky, Worldwide Product Line Manager at Carestream. “The results of this reader study are another proof point of the quality of our high-performance image capture systems. This improved capability to optimize radiation dose will be especially valuable in neonatal and pediatric diagnostic imaging, where imaging at the lowest possible dose is crucial for young patients.”

“Our AI-powered Smart Noise Cancellation gives radiologists another important tool to adjust the amount of noise cancellation and exposure to meet their desired imaging quality to aid their diagnosis,” added Muscosky.

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