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
Reduce radiation dose and improve image quality
St Vincent’s Hospital’s first-hand clinical experience with Deep Learning Reconstruction
Klaire Garnica, CT section manager at St Vincent’s Hospital in Sydney, NSW, presents their department’s findings how deep learning reconstruction technology on their Aquilion PRISM CT scanner made clear improvements in DLP dose reduction and image quality after using the technology in clinical practice for over a year.
Six different cases based on their diagnostic value were assessed - regions included soft tissue chest, lung, cardiac, abdomen, lumbar spine, pelvis – using two reconstruction methods – especially for thin 1mm reconstructions. Particularly, the hospital compared the results for their annual Australian Radiation Protection and Nuclear Safety Agency (ARPANSA) dose audit.
Watch what their findings were regarding the percentage of radiation dose reduction (DLP) they achieved using this innovative AI-enabled reconstruction method, with great dose savings against national dose reference levels.
Six different cases based on their diagnostic value were assessed - regions included soft tissue chest, lung, cardiac, abdomen, lumbar spine, pelvis – using two reconstruction methods – especially for thin 1mm reconstructions. Particularly, the hospital compared the results for their annual Australian Radiation Protection and Nuclear Safety Agency (ARPANSA) dose audit.
Watch what their findings were regarding the percentage of radiation dose reduction (DLP) they achieved using this innovative AI-enabled reconstruction method, with great dose savings against national dose reference levels.
“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
Publications
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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 |
Read the article |
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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 |
Read the article |
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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 |
Read the article |
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Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT Motonori Akagi et al. European Society of Radiology 2019 |
Read the article |
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 DLR – The Power of Deep Learning
What is DLR? How does it impact CT image quality and dose? How is it the next generation in medical image reconstruction?
Why does the quality of DLR training really matter?
Watch this presentation from RADAIM 2021 to get a better understanding of how Deep Learning Image Reconstruction works and how this revolutionary application of AI can impact you and your patients.
Kirsten Boedeker
Senior Manager, Medical Physics
Canon Medical Systems
Why does the quality of DLR training really matter?
Watch this presentation from RADAIM 2021 to get a better understanding of how Deep Learning Image Reconstruction works and how this revolutionary application of AI can impact you and your patients.
Kirsten Boedeker
Senior Manager, Medical Physics
Canon Medical Systems
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 Gallery
Better 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.