Advanced intelligent Clear-IQ Engine (AiCE)
Welcome to the age of AI-assisted CT
AiCE is an innovative Deep Learning Reconstruction technology that’s been trained to reduce noise and boost signal to deliver sharp, clear and distinct images at speed.
AiCE images have:
- Low Noise
- Natural Image Texture*
- Sharp High Contrast Resolution
- Clear Low Contrast Detectability
AiCE is available on:
- Compared to MBIR
Publications
Improving Image Quality and Reducing Radiation Dose for Paediatric CT by Using Deep Learning Reconstruction
Samuel L. Brady, Andrew T. Trout, et al. RSNA 2020
Deep Learning–based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics and Clinical Implementations
Yasunori Nagayama , Daisuke Sakabe, Makoto Goto, et al. RSNA 2021
Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose
Marc Lenfant, Olivier Chevallier et al. Diagnostics 2020
Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT
Motonori Akagi et al. European Society of Radiology 2019
Deep Learning Reconstruction (DLR)
Harnessing the enormous computational power of a Deep Convolutional Neural Network (DCNN), Advanced intelligent Clear-IQ Engine (AiCE) is trained to differentiate signal from noise, so that the algorithm can suppress noise while enhancing signal. Because it is trained with advanced MBIR, it exhibits high spatial resolution. But unlike MBIR, AiCE deep learning reconstruction overcomes the challenges (image appearance and/or reconstruction speed) in clinical adoption.
AiCE for Whole Body
All Body Imaging
AiCE brings you enhanced anatomical resolution across many body regions including brain, lung, cardiac and musculoskeletal scans.
Integrated Intelligence
Sharp, clear and distinct images. At low dose.
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