Learn more about AiCE Explore deep learning reconstruction View the AiCE clinical gallery
*As compared to TSX-301C FBP.
^With FIRST Body mode.
Watch PUREViSION Optics video Read the"PUREViSION Optics: The optimal balance between image quality and dose” whitepaper
*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.
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 |
Read the article |
Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction
Samuel L. Brady, Andrew T. Trout, et al, Cincinnati Children’s Hospital Medical Center |
Read the article |
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 |
Read whitepaper |
PUREViSION Optics: The optimal balance between image quality and dose
Jay Vaishnav, PhD Clinical Scientist, Manager, Medical Affairs, Canon Medical Systems USA, Inc. |
Read whitepaper |
Aquilion Precision Ultra-High Resolution CT: Quantifying diagnostic image quality
Kirsten Boedeker, PhD, DABR Senior Manager, Quantitative Image Quality, Canon Medical Systems Corporation |
Read whitepaper |
Case Study : Ultra-Low-Dose Chest with FIRST
Dr. Jonathan Seeff Consultant Radiologist Southern Radiology, Australia |
Download PDF |
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