Feasibility of Deep Learning–Based PET/MR Attenuation Correction in the Pelvis Using Only Diagnostic MR Images

This study evaluated the feasibility of using only diagnostically relevant magnetic resonance (MR) images together with deep learning for positron emission tomography (PET)/MR attenuation correction (deepMRAC) in the pelvis. Such an approach could eliminate dedicated MRAC sequences that have limited...

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Detalles Bibliográficos
Autores principales: Bradshaw, Tyler J., Zhao, Gengyan, Jang, Hyungseok, Liu, Fang, McMillan, Alan B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2018
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173790/
https://www.ncbi.nlm.nih.gov/pubmed/30320213
http://dx.doi.org/10.18383/j.tom.2018.00016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173790/
https://www.ncbi.nlm.nih.gov/pubmed/30320213
http://dx.doi.org/10.18383/j.tom.2018.00016

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