The Aquilion Precision introduces a revolutionary approach to CT reconstruction that leverages Deep Learning Neural Networks specifically trained to perform one task – reconstruct images that are sharp, clear, and distinct.
Known as AiCE, this deep learning reconstruction network is trained on an advanced Model-Based Iterative Reconstruction (MBIR) algorithm to produce low noise, natural texture, and 0.25 mm, 1024 matrix Ultra-High Resolution CT images several times faster than clinical MBIR today.
*MTF 0% (reference value)
The Aquilion Precision Ultra-High Resolution detector maintains the same geometric efficiency as a conventional detector even though there are four times the number of detector elements, septa and electronics.
Small Focal Size (0.4 mm X 0.5 mm)
The UHR tube incorporates an adaptive focal spot, capable of producing six precise focal spot sizes to meet the demands of UHR CT. The focal spot adapts to the patient size, collimation, matrix and clinical task, ensuring the optimal resolution for every examination.
The UHR couch enables clear images at 0.15 mm resolution while maintaining the popular popular design features for patient and technologist comfort and safety.