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United Imaging uMR OMEGA Cleared by FDA

United Imaging announced U.S. Food & Drug Administration (FDA) clearance of the uMR OMEGA magnetic resonance imaging (MRI) scanner. The uMR OMEGA offers the world’s first ultra-wide 75-cm bore.[1] With the widest bore in the market at any field strength, uMR OMEGA...

RADLogics’ AI-Powered Applications Available on Nuance AI Marketplace

RADLogics recently announced that its AI-Powered medical imaging applications designed to assist in the detection and quantification of findings associated with COVID-19 will be available on the Nuance AI Marketplace. The Nuance AI Marketplace is a portal with...

AHRA Announces Election Results

AHRA’s online Board of Directors election closed at midnight on May 18, 2020. The newest members of the AHRA Board of Directors are: 2020-2021 President-Elect: Kimlyn Queen-Weis, CRA, FAHRA Kimlyn joined AHRA in 2004, earned her CRA in 2004, and achieved Fellow...

United Imaging Wins Multiple Stevie Awards

United Imaging was named the winner of five Stevie Awards in the 18th Annual American Business Awards, including a Gold Award for “Most Innovative Company of the Year – Up to 2,500 Employees” for its U.S.-based operations, which were established in 2018. United...

FDA Clears 3T MR System for AI-Based Image Reconstruction Technology

Canon Medical Systems USA, Inc. has received 510(k) clearance on its Advanced intelligent Clear-IQ Engine (AiCE) for the Vantage Galan 3T MR system, further expanding access to its new Deep Learning Reconstruction (DLR) technology. This technology, which is also available across a majority of Canon Medical’s CT product portfolio, uses a deep learning algorithm to differentiate true MR signal from noise so that it can suppress noise while enhancing signal, forging a new frontier for MR image reconstruction.

AiCE was trained using vast amounts of high-quality image data, and features a deep learning neural network that can reduce noise and boost signal to quickly deliver sharp, clear and distinct images, further opening doors for advancements in MR imaging. Capabilities include:

  • High quality images: AiCE allows for the differentiation of true signal from noise through deep learning innovation to match the spatial resolution and low-noise properties of advanced scanning and reconstruction, while maintaining the true structure of the anatomy.
  • Seamless integration into routine practice: AiCE is the world’s first fully integrated deep learning reconstruction for MR, and is built directly into the scan protocols for seamless workflow.
  • Preferred AiCE MR image quality over non-AI reconstruction images: Following a blinded image comparison of AiCE DLR reconstructed images with images reconstructed with conventional methods without AiCE, physicians stated preference for AiCE images for clarity and resolution.

“AiCE utilizes a next generation approach to MR image reconstruction, further proving Canon Medical’s leadership and commitment to innovation in diagnostic imaging,” said Jonathan Furuyama, managing director, MR Business Unit, Canon Medical Systems USA, Inc. “With the expansion of this unique DLR method across modalities and into MR, we’re elevating diagnostic imaging capabilities for our customers by bringing the power of AI to routine imaging to provide more possibilities in improving patient care than ever before.”

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