For decades, MRI imaging has involved a careful balance between image resolution, scan time, and signal-to-noise ratio (SNR). In conventional MRI, prioritising two of these factors typically entails a compromise on the third, creating challenges for radiologists striving to achieve both efficiency and diagnostic precision in everyday clinical practice.
Today, advances in AI-powered reconstruction are helping redefine those limitations and supporting a new standard in image quality.
Canon Medical’s Precise IQ Engine (PIQE) has been designed to enhance MRI imaging by combining intelligent denoising with advanced upsampling technology. The result is sharper, higher-definition MRI images with improved SNR, achieved without increasing scan times. Developed to support demanding clinical environments, PIQE enables clinicians to obtain clearer images while maintaining efficient workflows and patient comfort.
As highlighted in a recent clinical white paper developed in collaboration with Dr. Julien Savatosky, M.D. at Rothschild Foundation Hospital in Paris, PIQE is already supporting improved visualisation and diagnostic confidence in daily neuroradiology practice.
Unlike conventional filtering approaches that may introduce image blur or reduce anatomical detail, PIQE is a deep learning reconstruction (DLR) technology that combines AI-based denoising with advanced resolution enhancement. The process applies deep learning algorithms to selectively reduce noise while preserving clinically relevant anatomical and pathological information, followed by matrix-size expansion and AI-assisted reduction of ringing artefacts that can occur during high levels of upsampling.
In clinical evaluations involving patients with neurological conditions such as multiple sclerosis and degenerative cervical spine disease, PIQE demonstrated notable improvements in image sharpness and lesion visibility. Radiologists observed clearer anatomical structures, improved contour depiction, and enhanced confidence when assessing subtle abnormalities. The technology also supported improved visualisation of lesions and spinal cord signal abnormalities, helping clinicians assess findings that may be more challenging to depict using conventional reconstruction methods.
PIQE also offers flexibility to support individual clinical preferences and imaging requirements. Users can adjust four reconstruction parameters: denoising strength, natural image retention, zoom ratio, and edge enhancement, enabling tailored image optimisation across a range of examinations and anatomical regions.
The benefits extend beyond image quality alone. By delivering higher-definition images while maintaining workflow efficiency, PIQE has the potential to support improved throughput and a more confident diagnostic experience.
As healthcare providers continue to seek solutions that support both operational efficiency and clinical excellence, AI-powered technologies such as PIQE are helping advance the future of MRI imaging.
Discover how PIQE is helping clinicians achieve enhanced image quality, improved SNR, and greater diagnostic confidence in real-world clinical settings. Follow the link to download the white paper, Precise IQ Engine (PIQE) in Clinical Practice: MWPMR0016EA_Precise IQ Engine (PIQE) in Clinical Practice.pdf.coredownload.inline.pdf