Introducing the Canon AiCE Deep Learning Reconstruction (DLR) algorithm, a breakthrough technology that brings the power of ultra-high resolution CT scanning to routine imaging. The algorithm combines deep learning and advanced iterative reconstruction techniques to produce high-quality images with improved noise properties, low contrast detectability, and spatial resolution.
The Canon Aquilion Precision CT scanner, paired with the AiCE DLR algorithm, achieves ultra-high resolution scanning at standard clinical CT doses for the first time, providing enhanced visualization of fine detail and pathology. The algorithm’s training process involves feeding millions of image pairs to a deep convolutional neural network (DCNN), allowing it to learn and differentiate between signal and noise.
AiCE DLR offers numerous benefits, including improved spatial resolution, noise properties, and low contrast detectability, making it an essential tool for clinicians to improve patient diagnosis and treatment outcomes.
Key Features:
Ultra-high resolution scanning at standard clinical CT doses
Improved spatial resolution and noise properties
Enhanced low contrast detectability
Integrated and easy-to-use
Benefits:
Improved patient diagnosis and treatment outcomes
Enhanced visualization of fine detail and pathology
Reduced radiation exposure
Manual:
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