Canon Medical Unveils Advances in AI-Enabled CT Software
Deep learning-based motion correction with the CLEAR Motion software reportedly bolsters cardiac imaging quality while the PIQE 1024 Deep Learning Reconstruction software offers equivalent SNR to photon-counting CT for high-resolution views of objects less than 0.5 mm.
Could emerging AI-powered software have an impact in improving image quality and workflow efficiencies in computed tomography (CT) imaging?
Offering a combination of deep learning-based motion correction and temporal resolution of 15.8 milliseconds, the CLEAR Motion software provides enhanced clarity without modifications to existing cardiovascular CT protocols, according to Canon Medical. The company said this software is now available on Canon Medical’s Aquilion ONE premium CT devices.
Canon Medical also noted the new availability of the PIQE 1024 Deep Learning Reconstruction software on the Aquilion Serve SP CT platform. The company maintained that CT imaging with the PIQE 1024 Deep Learning Reconstruction software offers a signal-to-noise ratio (SNR) equivalent to that of photon-counting computed tomography (PCCT). Trained on ultra-high resolution 0.25 mm data, the software offers improved low-contrast detection, reduction of bloom artifacts and enhanced views of fine anatomical structures across body, lung and cardiac CT imaging, according to Canon Medical.
“Reconstruction improvements have been central to progress in cardiac imaging. The combination of high-resolution imaging and improved motion management has helped get high-quality images in complex cardiothoracic studies,” said Ahmadreza Ghasemiesfe, MD, the division chief of cardiothoracic Imaging at the University of California-Davis Health. “While photon-counting CT represents an important future direction, current deep learning–based reconstruction already provides meaningful improvements in image quality, approaching the benefits of photon-counting CT.”














