Improved Patlak Reconstruction from Low-dose Dynamic PET Using Temporal Non-local Neural Network
Published: Oct 31, 2020
Abstract
Patlak model is constantly considered as a critical topic in the application of dynamic positron emission tomography (PET). Traditionally, direct reconstruction methods were preferred over indirect methods, for their complete noise modelling and comprehensive information exploited from raw data. Nevertheless, the development of direct methods was inevitably constrained by the scarcity for raw dynamic PET and the requirement for computation cost....
Paper Details
Title
Improved Patlak Reconstruction from Low-dose Dynamic PET Using Temporal Non-local Neural Network
Published Date
Oct 31, 2020
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