Advanced intelligent Clear-IQ Engine (AiCE)
Welcome to the age of AI-assisted CT
AiCE is a cutting-edge 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:
AiCE images have:
- Low Noise
- Fine Image Texture
- Sharp High Contrast Resolution
- Clear Low Contrast Detectability
“AI in Medical Imaging: Hype, Myth, Reality and Next Steps”
Listen to Eliot Siegel, MD, FSIIM, FACR, Professor and Vice Chair Research Informatics, University of Maryland School of Medicine, Chief of Radiology and Nuclear Medicine, Veterans Affairs Maryland Healthcare System
Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction
Authors: Samuel L. Brady, Andrew T. Trout, et alJournal: RSNA RadiologyPublished: 17/11/2020Copyright: RSNA 2020
Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose
Authors: Marc Lenfant, Olivier Chevallier et alJournal: DiagnosticsPublished: 04/08/2020Copyright: Diagnostics 2020
Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT
Authors: Motonori Akagi et al.
Journal: European Radiology
Published: 11/04/2019
Copyright: 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.
Introduction to Deep Learning CT Reconstruction
"AiCE is trained to perform a specific task - distinguishing signal from noise. AiCE retains signal and removes noise to reconstruct a clearer image, making pathology more detectable."
Kirsten Boedeker, PhD, DABR
Senior Manager, Quantitative Image Quality
Canon Medical Systems Corporation
Kirsten Boedeker, PhD, DABR
Senior Manager, Quantitative Image Quality
Canon Medical Systems Corporation
AiCE for Whole Body
All Body Imaging
AiCE brings you enhanced anatomical resolution across many body regions including brain, lung, cardiac and musculoskeletal scans.
View the AiCE Clinical GalleryBetter IQ. Lower dose. Easy workflow.
"On our Aquilion ONE GENESIS a new Deep Learning Reconstruction, named AiCE, was recently installed. Compared to our previous reconstructions we noticed significantly improved IQ with AiCE.
The clinical images have less noise and are sharper, we noticed an increase of ~25% SNR and CNR.
Moreover the dose decreased by ~20% for body imaging and ~40% for cardiac examinations.
The AiCE implementation was easy and just turned ON by the Canon application specialists. We scan approximately 80 patients per day and therefore high throughput is essential for our site. AiCE is implemented into our protocols helping to streamline our daily workflow."
Prof. Frédéric Ricolfi
Centre Hospitalier Universitaire
Dijon Bourgogne, France
Superior Image Quality
"AiCE image quality is superior to all other reconstruction technologies I have seen so far.
The noise is greatly reduced and the images have a natural texture appearance.
AiCE has quick reconstruction which allows use in every protocol without disturbing the workflow, even with double recons like we do for chest and Chest Abdomen and Pelvis examinations. "
Mathias Prokop, M.D., Ph.D.
Professor and Chairman of Radiology and Nuclear Medicine,
RadboudUMC, Netherlands
The noise is greatly reduced and the images have a natural texture appearance.
AiCE has quick reconstruction which allows use in every protocol without disturbing the workflow, even with double recons like we do for chest and Chest Abdomen and Pelvis examinations. "
Mathias Prokop, M.D., Ph.D.
Professor and Chairman of Radiology and Nuclear Medicine,
RadboudUMC, Netherlands
Integrated Intelligence
Sharp, clear and distinct images. At low dose.
“Tomorrow’s radiology available today”
Listen to Ewoud Smit, MD, PhD, from Radboud University Medical Center, Nijmegen, the Netherlands, explain how AiCE has won over even the most conservative radiologists in his department by offering them more diagnostic confidence.
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© Canon Medical Systems ANZ Pty Limited.
© Canon Medical Systems ANZ Pty Limited.