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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Tomography
Main Authors: Bradshaw, Tyler J., Zhao, Gengyan, Jang, Hyungseok, Liu, Fang, McMillan, Alan B.
Formato: Artigo
Idioma:Inglês
Publicado em: Grapho Publications, LLC 2018
Assuntos:
Research Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6173790/
https://ncbi.nlm.nih.gov/pubmed/30320213
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18383/j.tom.2018.00016
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados