DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem
Abstract
null null The purpose of this research was to implement a deep learning network to overcome two of the major bottlenecks in improved image reconstruction for clinical positron emission tomography (PET). These are the lack of an automated means for the optimization of advanced image reconstruction algorithms, and the computational expense associated with these state-of-the art methods. null We thus present a novel end-to-end PET image...
Paper Details
Title
DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem
Published Date
May 1, 2019
Journal
Volume
54
Pages
253 - 262
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History