Intended Use

This device is indicated to acquire and display cross-sectional volumes of the whole body, to include the head. AiCE (Advanced Intelligent Clear-IQ Engine) is a noise reduction algorithm that improves image quality and reduces image noise by employing Deep Convolutional Neural Network methods for abdomen, pelvis, lung, cardiac, extremities, head and inner ear applications.

Technology

The Aquilion Lightning (TSX-036A/7) V10.2 with AiCE-i is an 80-row CT system that is a whole body, multi-slice helical CT scanner. The system includes a gantry, couch, and console. It integrates AiCE-i, a reconstruction algorithm using Deep Convolutional Neural Network (DCNN) methods to reduce image noise and improve image quality, which is more advanced than previous AIDR 3D noise reduction technologies.

Performance

Performance testing included phantom-based image quality metrics measuring Contrast-to-Noise Ratio, CT Number Accuracy, Uniformity, Modulation Transfer Function, Noise Power Spectra, and Low Contrast Detectability. Results demonstrated that AiCE-i images are substantially equivalent or superior to the predicate device, with claims of up to 82.9% dose reduction relative to filtered backprojection, improved low contrast detectability by 15%, and noise reduction by 29% at the same dose for body imaging.

Predicate Devices

No predicate devices specified

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