High-Definition PIQE Images can be acquired by implementation of a Deep Learning Noise and Ringing Reduction Techniques while utilizing up to 3 x Up-Sampling Image Reconstructions.
Maintain Base Line Signal to Noise Ratio (SNR), 3 mm Through-Plane and In-Plane Isotropic Matrix while enhancing Anatomical Detail.
High-Definition PIQE Images can be acquired by implementation of a Deep Learning Noise and Ringing Reduction Techniques while utilizing up to 3 x Up-Sampling Image Reconstructions.
Maintain Base Line SNR, 3 mm Through-Plane and In-Plane Isotropic Matrix for Better White Matter Lesion Visualization.
High-Definition PIQE Images can be acquired by implementation of a Deep Learning Noise and Ringing Reduction Techniques while utilizing up to 3 x Up-Sampling Image Reconstructions.
3 mm Through-Plane and Decrease In-Plane Isotropic Matrix for scan time reduction while enhancing Anatomical Detail. Canon’s Deep Learning Ringing Reduction Technique when utilizing lower Phase Encoding Matrix allows for a scan time reduction of 1 to 2 minutes while enhancing anatomical detail due to the possibility of Up-Sampling Technology by a Factor of 3.
High-Definition PIQE Images can be acquired by implementation of a Deep Learning Noise and Ringing Reduction Techniques while utilizing up to 3 x Up-Sampling Image Reconstructions.
3 mm Through-Plane and Decrease In-Plane Isotropic Matrix for scan time reduction while enhancing Anatomical Detail in regions with tendency to motion. Canon’s Deep Learning Ringing Reduction Technique when utilizing lower Phase Encoding Matrix allows for a scan time reduction of 1 to 2 minutes while enhancing anatomical detail due to the possibility of Up-Sampling Technology by a Factor of 3.
High-Definition PIQE Images can be acquired by implementation of a Deep Learning Noise and Ringing Reduction Techniques while utilizing up to 3 x Up-Sampling Image Reconstructions.
1.5 mm Through-Plane and Decrease In-Plane Isotropic Matrix for maintaining SNR while enhancing Anatomical Detail in Small Body Regions.
High-Definition PIQE Images can be acquired by implementation of a Deep Learning Noise and Ringing Reduction Techniques while utilizing up to 3 x Up-Sampling Image Reconstructions.
2.3 mm Through-Plane and Decrease In-Plane Isotropic Matrix for maintaining SNR while enhancing Anatomical Detail and Pathology.
High-Definition PIQE Images can be acquired by implementation of a Deep Learning Noise and Ringing Reduction Techniques while utilizing up to 3 x Up-Sampling Image Reconstructions.
3 mm Through-Plane and Decrease In-Plane Isotropic Matrix for maintaining SNR while enhancing Anatomical Detail and Pathology for Pre and Post Interventional Procedures.
High-Definition PIQE Images can be acquired by implementation of a Deep Learning Noise and Ringing Reduction Techniques while utilizing up to 3 x Up-Sampling Image Reconstructions.
2.5 mm Through-Plane and Decrease In-Plane Matrix for maintaining SNR while enhancing Anatomical Detail and Extent Pathology/Edema in Bone.
High-Definition PIQE Images can be acquired by implementation of a Deep Learning Noise and Ringing Reduction Techniques while utilizing up to 3 x Up-Sampling Image Reconstructions.
2.3 mm Through-Plane and Decrease In-Plane Isotropic Matrix for maintaining SNR while enhancing Anatomical Detail for Ligament and Tendon Visualization.
Disclaimer
Some features presented in this article may not be commercially available on all systems shown or may require the purchase of additional options. Due to local regulatory processes, some commercial features included in this publication may not be available in some countries. Please contact your local representative from Canon Medical Systems for details and the most current information.
Deep Learning technology is used in the design stage of the image reconstruction processing. The system itself does not have self-learning capabilities. The contents of this report include the personal opinions of the authors based on their clinical experience and knowledge.
© CANON MEDICAL SYSTEMS EUROPE B.V.
© CANON MEDICAL SYSTEMS EUROPE B.V.