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
- Aquilion Precision
- Aquilion ONE / PRISM Edition
- Aquilion ONE / GENESIS Edition
- Aquilion Prime SP
Integrated Intelligence
Sharp, clear and distinct images. At low dose.
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.
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.
Better IQ. Lower dose. Easy workflow.
"On our Aquilion ONE / GENESIS Edition 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
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
Better IQ. Lower dose. Easy workflow.
"On our Aquilion ONE / GENESIS Edition 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
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
“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.
