AiCE Deep Learning Reconstruction (AiCE DLR) Computed Tomography. A New Era of AI in Medical Imaging.

Advanced Intelligent Clear-IQ Engine

AiCE Deep Learning Reconstruction (AiCE DLR)

AiCE DLR applies a pre-trained Deep Convolutional Neural Network (DCNN)
AiCE is able to enhance spatial resolution and low contrast detectability while simultaneously reducing noise
The pre-trained DCNN makes reconstruction speeds much faster than MBIR and fast enough for routine clinical use
AiCE DLR image reconstruction differentiates signal from noise, so the algorithm can suppress noise while enhancing signal

AiCE Deep Learning Reconstruction

New Low Contrast Detectability

Body, Lung and Cardiac

“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.

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Clinical Gallery

AiCE LAD Stent

Volumetric cardiac CTA was performed with AiCE cardiac. It demonstrates proximal LAD stent and mixed plaques in the RCA.

AiCE Clinical Gallery

Integrated Intelligence

Sharp, clear and distinct images.
At low dose.

Harnessing the enormous computational power of a Deep Convolutional Neural Network (DCNN), AiCE Deep Learning Reconstruction (DLR) 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 DLR exhibits image appearance more similar to higher dose FBP with fast reconstruction times.

AiCE DLR features:

Our best low-contrast resolution, ever†
Improved low-contrast detectability, noise and spatial resolution relative to hybrid iterative reconstruction
Image noise appearance similar to FBP compared to MBIR reconstruction
Fast reconstruction
Easy workflow

†1.5mm @ 0.3%

The AiCE Server

Designed for collation and analysis of large amounts of data.

Our partnership with NVIDIA® has allowed Canon Medical Systems to make significant advances in artificial intelligence (AI) and data-intensive deep learning techniques in the healthcare sector. The AiCE Server enables the processing of large volumes of medical data while simultaneously coordinating a variety of patient information.

Deep Learning Reconstruction