Fast and Accurate Amyloid Brain PET Quantification Without MRI Using Deep Neural Networks

This paper proposes a novel method for automatic quantification of amyloid PET using deep learning–based spatial normalization (SN) of PET images, which does not require MRI or CT images of the same patient. The accuracy of the method was evaluated for 3 different amyloid PET radiotracers compared w...

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Detalles Bibliográficos
Autores principales: Kang, Seung Kwan, Kim, Daewoon, Shin, Seong A, Kim, Yu Kyeong, Choi, Hongyoon, Lee, Jae Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Nuclear Medicine 2023
Materias:
Basic Science Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071781/
https://www.ncbi.nlm.nih.gov/pubmed/36328490
http://dx.doi.org/10.2967/jnumed.122.264414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071781/
https://www.ncbi.nlm.nih.gov/pubmed/36328490
http://dx.doi.org/10.2967/jnumed.122.264414

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