Intended Use

Indicated to acquire and display cross-sectional volumes of the whole body including the head; provides volume datasets for specialized studies by qualified physicians. AiCE is an AI noise reduction algorithm that enhances image quality using Deep Convolutional Neural Networks for abdomen, pelvis, lung, cardiac, extremities, head, and inner ear applications.

Technology

A 40-row CT system optionally upgradeable to 80 detector rows; uses AiCE-i, an AI-based noise reduction algorithm employing Deep Convolutional Neural Networks for improved image quality and lower noise compared to previous reconstruction techniques like AIDR 3D and FBP.

Performance

Performance testing includes phantom-based image quality evaluations assessing contrast-to-noise ratio, low contrast detectability, and noise texture analyses. Results demonstrate an 82% dose reduction claim relative to FBP, 13.8% improved low contrast detectability, and significantly better noise reduction compared to previous methods. Clinical images confirmed diagnostic quality.

Predicate Devices

No predicate devices specified

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