Despite recent advancements, PET imaging remains challenging due to a variety of factors affecting image quality. With new advances in reconstruction methods being made available, what opportunities lie ahead in the field of molecular imaging?

Watch Canon Medical’s 30-minute webinar “Accessing new possibilities in PET-CT. Outcomes driven innovation by AI” to find out.

Listen as our panel of experts explore what is considered as the next generation in PET-CT and discuss the current and future impact of AI on improving patient outcomes.

Canon Medical’s deep learning reconstruction (DLR) technology development for medical imaging, Advanced intelligent Clear-IQ Engine (AiCE), is now available for PET.

AiCE on the Cartesion Prime aims to help clinicians achieve PET images with improved image quality under a wide variety of imaging conditions.

AiCE yields superior performance by better differentiating signal from noise and generating consistent high-quality images.

To aid in fast and confident clinical results, compared to Gaussian filtering, AiCE DLR can provide superior performance in:

• Image quality
  45% improved SNR¹
• Quantification accuracy
  82.9% improvement in contrast at the same noise level¹
• Count dependency
  75% reduction in counts while preserving SNR²
• Preservation of quantification
  AiCE did not change overall quantification of images compared to OSEM reconstruction