Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior

Volume: 41, Issue: 3, Pages: 680 - 689
Published: Mar 1, 2022
Abstract
Direct reconstruction methods have been developed to estimate parametric images directly from the measured PET sinograms by combining the PET imaging model and tracer kinetics in an integrated framework. Due to limited counts received, signal-to-noise-ratio (SNR) and resolution of parametric images produced by direct reconstruction frameworks are still limited. Recently supervised deep learning methods have been successfully applied to medical...
Paper Details
Title
Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior
Published Date
Mar 1, 2022
Volume
41
Issue
3
Pages
680 - 689
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