Unsupervised-learning-based method for chest MRI–CT transformation using structure constrained unsupervised generative attention networks

The integrated positron emission tomography/magnetic resonance imaging (PET/MRI) scanner simultaneously acquires metabolic information via PET and morphological information using MRI. However, attenuation correction, which is necessary for quantitative PET evaluation, is difficult as it requires the...

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Detalles Bibliográficos
Autores principales: Matsuo, Hidetoshi, Nishio, Mizuho, Nogami, Munenobu, Zeng, Feibi, Kurimoto, Takako, Kaushik, Sandeep, Wiesinger, Florian, Kono, Atsushi K., Murakami, Takamichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247083/
https://www.ncbi.nlm.nih.gov/pubmed/35773366
http://dx.doi.org/10.1038/s41598-022-14677-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247083/
https://www.ncbi.nlm.nih.gov/pubmed/35773366
http://dx.doi.org/10.1038/s41598-022-14677-x

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