An investigation of quantitative accuracy for deep learning based denoising in oncological PET
Abstract
Reducing radiation dose is important for PET imaging. However, reducing injection doses causes increased image noise and low signal-to-noise ratio (SNR), subsequently affecting diagnostic and quantitative accuracies. Deep learning methods have shown a great potential to reduce the noise and improve the SNR in low dose PET data.
- Publication:
-
Physics in Medicine and Biology
- Pub Date:
- August 2019
- DOI:
- 10.1088/1361-6560/ab3242
- Bibcode:
- 2019PMB....64p5019L
- Keywords:
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- deep learning;
- noise reduction;
- oncological PET;
- quantitative accuracy