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AiCE is an innovative Deep Learning Reconstruction technology that’s been trained to reduce noise and boost signal to deliver sharp, clear and distinct images at speed.
SilverBeam is a beam-shaping energy filter that delivers AI enhanced, high quality, low noise CT images optimized for lung screening. With continued high demand for chest CT, as well as interest in many countries in establishing national screening programs to detect lung cancer early, the new filter is being welcomed by specialists all over the world.
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 brings enhanced anatomical resolution across many body regions including brain, lung, cardiac and musculoskeletal scans.
Prof. Frédéric Ricolfi
Centre Hospitalier Universitaire
Dijon Bourgogne, France
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.
Watch Professor Matthias Prokop, MD, present the evolution of deep learning reconstruction technology in radiology and how Canon’s Advanced intelligent Clear-IQ Engine makes a difference for improved clinical decision making.
At Himex Corporation, we believe in creating a workplace where...
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