NEW

GE HealthCare Preps for SIR 2024

GE HealthCare will showcase its latest technologies in image guiding solutions, surgery, ultrasound and CT-navigation at the upcoming 2024 Society of Interventional Radiology (SIR) Annual Scientific Meeting taking place March 23-28 in Salt Lake City, Utah. The...

Samsung Accepts Healthcare Innovator Award

Boston Imaging, the United States headquarters of Samsung’s digital radiography and ultrasound business, was awarded HHM Health’s Healthcare Innovator Award

AHRA Co-Founder Passes Away

On March 2, 2024, Louise Broadley passed away at 101 years old. AHRA shared the news via an email and website post that reads, “She was a noble woman, who not only achieved many milestones within the imaging profession, but likewise paved the way for aspiring leaders...

Artificial Intelligence Paper Outlines FDA’s Approach to Protect Public Health and Promote Ethical Innovation

Today, the U.S. Food and Drug Administration (FDA) released its “Artificial Intelligence and Medical Products: How CBER, CDER, CDRH, and OCP are Working Together,” which outlines how FDA’s medical product centers are working together to protect public health while...

Canon Medical Receives FDA Clearance for Deep Convolutional Neural Network Image Reconstruction Technology for CT

Building on its advanced image reconstruction technologies, Canon Medical Systems USA, Inc. has received 510(k) clearance on its new deep convolutional neural network (DCNN) image reconstruction technology, ushering in a new era for CT. Canon Medical’s Advanced Intelligent Clear-IQ Engine (AiCE) uses a deep learning algorithm to differentiate signal from noise so that it can suppress noise while enhancing signal.

The algorithm forges a new frontier for CT image reconstruction with its ability to learn from the high image quality of Model Based Iterative Reconstruction (MBIR) to reconstruct CT images with improved spatial resolution*, 3-5x times faster than traditional MBIR. With AiCE’s deep learning approach, thousands of features learned during training help to differentiate signal from noise for improved resolution. AiCE applies a pre-trained DCNN to enhance spatial resolution while simultaneously reducing noise with reconstruction speeds fast enough for busy clinical environments.

“Our AiCE technology utilizes a next generation approach to CT image reconstruction, further proving Canon Medical’s leadership and commitment to innovation in diagnostic imaging,” said Dominic Smith, senior director, CT, PET/CT, and MR Business Units, Canon Medical Systems USA. “This technology doesn’t just meet our customers’ evolving needs, it exceeds them, opening doors to clearer, more precise images to help optimize patient care.”

About Canon Medical Systems USA, Inc.

Canon Medical Systems USA, Inc., headquartered in Tustin, Calif., markets, sells, distributes and services radiology and cardiovascular systems, including CT, MR, ultrasound, X-ray and interventional X-ray equipment. For more information, visit Canon Medical Systems’ website at us.medical.canon.

*Compared to AIDR 3D

Previous

Next

Submit a Comment

Your email address will not be published. Required fields are marked *

Open