AI-based deep learning reconstruction for PET-CT
Canon’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.
AiCE for PET features
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
- 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
Distinct, high-quality PET-CT images with AiCE technology
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