DeepPVC: prediction of a partial volume-corrected map for brain positron emission tomography studies via a deep convolutional neural network

BACKGROUND: Partial volume correction with anatomical magnetic resonance (MR) images (MR-PVC) is useful for accurately quantifying tracer uptake on brain positron emission tomography (PET) images. However, MR segmentation processes for MR-PVC are time-consuming and prevent the widespread clinical us...

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Detalles Bibliográficos
Autores principales: Matsubara, Keisuke, Ibaraki, Masanobu, Kinoshita, Toshibumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339068/
https://www.ncbi.nlm.nih.gov/pubmed/35907100
http://dx.doi.org/10.1186/s40658-022-00478-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339068/
https://www.ncbi.nlm.nih.gov/pubmed/35907100
http://dx.doi.org/10.1186/s40658-022-00478-8

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