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Performance of clinically available deep learning image reconstruction in computed tomography: a phantom study

Purpose: To assess the physical performance of deep learning image reconstruction (DLIR) compared with those of filtered back projection (FBP) and iterative reconstruction (IR) and to estimate the dose reduction potential of the technique. Approach: A cylindrical water bath phantom with a diameter o...

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Detalhes bibliográficos
Publicado no:J Med Imaging (Bellingham)
Main Authors: Kawashima, Hiroki, Ichikawa, Katsuhiro, Takata, Tadanori, Mitsui, Wataru, Ueta, Hiroshi, Yoneda, Norihide, Kobayashi, Satoshi
Formato: Artigo
Idioma:Inglês
Publicado em: Society of Photo-Optical Instrumentation Engineers 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7739999/
https://ncbi.nlm.nih.gov/pubmed/33344672
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.6.063503
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