| Literature DB >> 34537129 |
Kuang Gong1, Kyungsang Kim1, Jianan Cui1, Dufan Wu1, Quanzheng Li2.
Abstract
PET can provide functional images revealing physiologic processes in vivo. Although PET has many applications, there are still some limitations that compromise its precision: the absorption of photons in the body causes signal attenuation; the dead-time limit of system components leads to the loss of the count rate; the scattered and random events received by the detector introduce additional noise; the characteristics of the detector limit the spatial resolution; and the low signal-to-noise ratio caused by the scan-time limit (eg, dynamic scans) and dose concern. The early PET reconstruction methods are analytical approaches based on an idealized mathematical model.Entities:
Keywords: Artificial intelligence; Deep neural network; Image reconstruction
Mesh:
Year: 2021 PMID: 34537129 DOI: 10.1016/j.cpet.2021.06.004
Source DB: PubMed Journal: PET Clin ISSN: 1556-8598