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What is Accelerated Iterative Image Reconstruction Using A Deep about?

The document presents a deep learning-based leapfrogging strategy aimed at accelerating iterative image reconstruction in PET imaging. This method enhances the convergence of the penalized likelihood PET image reconstruction algorithm, BSREM, by using a trained neural network to predict high-quality images from low-iteration reconstructions. Results from both simulated and clinical patient data demonstrate significant improvements in image quality and convergence speed, with a mean percentage reduction of 6

Author

muxiaa0

Language

EN