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:

• Low Noise
• Natural Image Texture*
• Sharp High Contrast Resolution
• Clear Low Contrast Detectability

^PUREOptics provides significantly improved imaging efficiency from photon generation to detection. An optimized beam spectrum combined with a more efficient detector result in a better balance between image quality and dose.

Patient specific beam shaping filters provide an optimized X-ray spectrum and more homogenous distribution, improving low contrast detectability by up to:

• 19% improved LCD at equivalent dose—brain*
• 22% improved LCD at equivalent dose—body*
• 31% dose reduction at equivalent low contrast detectability*

Upgrade every multi phase CT protocol with enhanced iodine imaging that provides whole organ perfusion, improves the visualization of subtle lesions, and provides an excellent view of vessel lumens that is free from calcium stents and bone.