AiCE is an innovative approach to CT reconstruction that uses Deep Learning innovation to match the spatial resolution and low-noise properties of advanced model-based iterative reconstructions.
Trained using vast amounts of high-quality image data, reconstructed with an advanced MBIR algorithm, AiCE distinguishes true signal from noise to deliver exceptional images without compromising on dose.
Furthermore, the technology has been streamlined to 160 slices, and has been integrated into existing Prime SP hardware, so you can make the most of improved image quality in a smart, cost-efficient way.
AiCE has potential to aid in fast and confident clinical results by providing:
*Compared to MBIR