Technology | Computed Tomography (CT) | October 21, 2019

FDA Clears AiCE Image Reconstruction on Canon's Aquilion Precision CT

Ultra-high resolution Aquilion Precision the latest system in Canon’s CT portfolio with access to Advanced Intelligent Clear-IQ Engine (AiCE)

FDA Clears AiCE Image Reconstruction on Canon's Aquilion Precision CT

October 21, 2019 — Canon Medical Systems USA Inc. has received U.S. Food and Drug Administration (FDA) 510(k) clearance on its Advanced Intelligent Clear-IQ Engine (AiCE) for the Aquilion Precision computed tomography (CT) system. The clearance further expands access to Canon’s new deep convolutional neural network (DCNN) image reconstruction technology. This technology, now available on both the Aquilion Precision and Aquilion One/Genesis Edition premium CT systems, uses a deep learning algorithm to differentiate signal from noise so that it can suppress noise while enhancing signal, forging a new frontier for CT image reconstruction.

Aquilion Precision, which Canon calls the world’s first ultra-high resolution CT, provides two times the resolution of conventional CT, revealing detail that is typically only seen in cardiac catheterization labs. With AiCE, the system now enables clinicians to perform super-high resolution studies at doses equivalent to standard resolution CT (with traditional hybrid iterative reconstruction techniques). AiCE learns from the high image quality of model-based iterative reconstruction (MBIR) to reconstruct CT images with improved high contrast spatial resolution.

For more information: www.us.medical.canon

 

Related Content

Canon Medical Receives FDA Clearance for AiCE Reconstruction Technology for CT

Canon Medical Systems' Aquilion Precision CT Receives FDA Clearance

Applications for Artificial Intelligence in Cardiovascular Imaging

Related Content

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

News | Artificial Intelligence | May 26, 2020
May 26, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

News | Artificial Intelligence | May 19, 2020
May 19, 2020 — Artificial inte...
TeraRecon will accelerate innovation in its advanced visualization and AI platforms for image-related decision support to clinical specialists

TeraRecon's End-to-End AI Ecosystem

News | Artificial Intelligence | March 04, 2020
March 4, 2020 — SymphonyAI Group, an operating group of lea
The FDA granted marketing authorization of the Caption Guidance software to Caption Health Inc. in February 2020. It uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

News | Artificial Intelligence | February 13, 2020
February 13, 2020 — The U.S.

GE Healthcare partnered with the AI developer Dia to provide an artificial intelligence algorithm to auto contour and calculate cardiac ejection fraction (EF). The app is now available on the GE Vscan pocket, point-of-care ultrasound (POCUS) system, as seen here displayed at RSNA 2019. Watch a VIDEO demo from RSNA.

Feature | Artificial Intelligence | February 11, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...
A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor, which with the latest artificial intelligence (AI) can detect hypoglycemic events from raw ECG signals has been made by researchers from the University of Warwick.

A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor, which with the latest artificial intelligence (AI) can detect hypoglycemic events from raw ECG signals has been made by researchers from the University of Warwick.

 

News | Artificial Intelligence | January 13, 2020
A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor,...
Videos | Artificial Intelligence | November 07, 2019
Piotr Slomka explains how his team at Cedars-Sinai is working on intelligent patient risk prediction algorithms...
AI Could Use EKG Data to Measure Patient's Overall Health Status

Image courtesy of iStock

News | Artificial Intelligence | August 29, 2019
In the near future, doctors may be able to apply artificial intelligence (AI) to electrocardiogram data in order to...
Half of Hospital Decision Makers Plan to Invest in AI by 2021
News | Artificial Intelligence | August 08, 2019
A recent study conducted by Olive AI explores how hospital leaders are responding to the imperative to drive efficiency...