Canon Medical Systems receives 510(k) clearance for its Advanced intelligent Clear-IQ Engine.
MR image reconstruction could see a step forward.
Canon Medical Systems announced Wednesday it has received 510(k) clearance from the U.S. Food & Drug Administration for its Advanced intelligent Clear-IQ Engine (AiCE). This tool is designed for the Vantage Galan 3T MR system and expands access to the company’s Deep Learning Reconstruction (DLR) technology.
According to a company statement, the technology, which is also available across Canon Medical’s CT product portfolio, employs a deep learning algorithm to distinguish true MR signal from noise, suppressing the noise while simultaneously enhancing the signal.
“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,” said Jonathan Furuyama, managing director of Canon Medical Systems USA, Inc.’s MR business unit.
Trained on a significant amount of high-quality image data, AiCE has a deep learning neural network that can, potentially, reduce noise and boost the MR signal for quicker delivery of clear, distinct images. Based on the company statement, the technology offers these capabilities:
Study: Mammography AI Leads to 29 Percent Increase in Breast Cancer Detection
February 5th 2025Use of the mammography AI software had a nearly equivalent false positive rate as unassisted radiologist interpretation and resulted in a 44 percent reduction in screen reading workload, according to findings from a randomized controlled trial involving over 105,000 women.
Can MRI-Based Deep Learning Improve Risk Stratification in PI-RADS 3 Cases?
January 30th 2025In external validation testing, a deep learning model demonstrated an average AUC of 87.6 percent for detecting clinically significant prostate cancer (csPCA) on prostate MRI for patients with PI-RADS 3 assessments.