AI based Deep Learning Reconstruction

Reduce Scan Times,
Improve Signal to Noise

Canon Medical is on the forefront of Deep Learning Reconstruction (DLR) development for medical imaging, as evident by the successful release of Advanced intelligent Clear-IQ Engine (AiCE) for CT and MR. And now, AiCE for PET is available on Cartesion Prime 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.

AiCE for PET Features:

  • 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

1 as compared to OSEM + Gaussian Post Filtering
2 as compared to OSEM + Gaussian Post Filtering at 100% counts or without scan duration reduction
* Based on bench test results (10 mm sphere)

AiCE for PET Clinical Examples

PET AiCE Clinical Case PET AiCE Clinical Case
PET AiCE Clinical Case PET AiCE Clinical Case

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