Synthetic PET via Domain Translation of 3-D MRI

Historically, patient datasets have been used to develop and validate various reconstruction algorithms for PET/MRI and PET/CT. To enable such algorithm development, without the need for acquiring hundreds of patient exams, in this article we demonstrate a deep learning technique to generate synthet...

Descripción completa

Detalles Bibliográficos
Autores principales: Rajagopal, Abhejit, Natsuaki, Yutaka, Wangerin, Kristen, Hamdi, Mahdjoub, An, Hongyu, Sunderland, John J., Laforest, Richard, Kinahan, Paul E., Larson, Peder E. Z., Hope, Thomas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311993/
https://www.ncbi.nlm.nih.gov/pubmed/37396797
http://dx.doi.org/10.1109/trpms.2022.3223275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311993/
https://www.ncbi.nlm.nih.gov/pubmed/37396797
http://dx.doi.org/10.1109/trpms.2022.3223275

Ejemplares similares