Deep learning–based metal artefact reduction in PET/CT imaging

OBJECTIVES: The susceptibility of CT imaging to metallic objects gives rise to strong streak artefacts and skewed information about the attenuation medium around the metallic implants. This metal-induced artefact in CT images leads to inaccurate attenuation correction in PET/CT imaging. This study i...

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Detalles Bibliográficos
Autores principales: Arabi, Hossein, Zaidi, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270868/
https://www.ncbi.nlm.nih.gov/pubmed/33569626
http://dx.doi.org/10.1007/s00330-021-07709-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270868/
https://www.ncbi.nlm.nih.gov/pubmed/33569626
http://dx.doi.org/10.1007/s00330-021-07709-z

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