The U.S. Food and Drug Administration (FDA) has granted 510(k) clearance to Canon Medical Systems USA for use of its artificial intelligence-based Advanced Intelligent Clear-IQ Engine (AiCE) image reconstruction technology with its Aquilion Precision ultrahigh-resolution CT scanner.
Following previous FDA clearance for AiCE CT reconstruction software, the technology now has regulatory clearance for application to ultrahigh-resolution CT scans. Clinicians can thus use the deep convolutional neural network image reconstruction technology of AiCE to roughly double the spatial resolution of conventional CT scans at equivalent radiation doses, according to the company.
AiCE is capable of suppressing image noise while enhancing signal three to five times more quickly than traditional model-based iterative reconstruction (MBIR) methods, Canon said.
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
