Search

At Canon Medical, we believe that every patient should be able to receive the potentially life-saving CT scans they need without compromising their health and wellbeing. To that end, we have spent years researching and developing new solutions that, in line with the ALARA principle, reduce dose and improve image quality for increased confidence with every scan.

Integrated Intelligence

Advanced intelligent Clear-IQ Engine (AiCE)

AiCE uses powerful deep learning technology to match the spatial resolution and low-noise properties of advanced model-based iterative reconstructions to produce high-quality, low-dose images at speed.

Better IQ. Lower dose.

"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."

 

Prof. Frédéric Ricolfi

Centre Hospitalier Universitaire

Dijon Bourgogne, France

Image

Kazuo Awai, MD, PhD

Hiroshima University, Japan

"I believe that AiCE will contribute to the reduction of radiation exposure from medical imaging."

Image

Professor Kazuo Awai, MD, PhD

Hiroshima University, Japan

How Artificial Intelligence is shaping the future of low-dose CT.

Obtaining high-precision, high-quality images while minimizing exposure dose

Image

Ewoud Smit, MD, PhD

Radboudumc, the Netherlands

"I really like AiCE because of the low contrast detectability."

Image

Ewoud Smit, MD, PhD

Radboudumc, the Netherlands

“Tomorrow’s radiology available today”

Image

A legacy of innovation

For more than 25 years, we have facilitated a steady decline in radiation dose with the launch of pioneering products that make CT more reliable for everyone.

A better balance between image quality and dose

PUREViSION Optics

PUREViSION Optics takes routine CT imaging to a new level of detail and low contrast detectability with an optimised beam spectrum and detector that reduces dose by up to 31%*.

  • A non-prewhitening model observer study was conducted comparing Aquilion ONE / GENESIS Edition to Aquilion ONE. Maximum dose reduction values were established by comparing low contrast detectability under baseline conditions for abdominal and brain examination based on the detectability index performance metric, a measure of signal to noise that takes into account the magnitude and texture of both the signal and the noise for a given LCD task.
Image
Image
Image

Whitepapers

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, François-Mitterrand University Hospital

Improving Image Quality and Reducing Radiation Dose for Paediatric CT by Using Deep Learning Reconstruction

 

Samuel L. Brady, Andrew T. Trout, et al, Cincinnati Children’s Hospital Medical Centre

AiCE Deep Learning Reconstruction: Bringing the power of Ultra-High Resolution CT to routine imaging

 

Kirsten Boedeker, PhD, DABR Senior Manager, Medical Physics, Canon Medical Systems Corporation

PUREViSION Optics: The optimal balance between image quality and dose

 

Jay Vaishnav, PhD Clinical Scientist, Manager, Medical Affairs, Canon Medical Systems USA, Inc.

Aquilion Precision Ultra-High Resolution CT: Quantifying diagnostic image quality

 

Kirsten Boedeker, PhD, DABR Senior Manager, Quantitative Image Quality, Canon Medical Systems Corporation

Case Study : Ultra-Low-Dose Chest with FIRST

 

Dr. Jonathan Seeff Consultant Radiologist Southern Radiology, Australia