Deep‐learning predicted PET can be subtracted from the true clinical fluorodeoxyglucose PET co‐registered to MRI to identify the epileptogenic zone in focal epilepsy

OBJECTIVE: Normal interictal [(18)F]FDG‐PET can be predicted from the corresponding T1w MRI with Generative Adversarial Networks (GANs). A technique we call SIPCOM (Subtraction Interictal PET Co‐registered to MRI) can then be used to compare epilepsy patients' predicted and clinical PET. We ass...

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Detalles Bibliográficos
Autores principales: Flaus, Anthime, Jung, Julien, Ostrowky‐Coste, Karine, Rheims, Sylvain, Guénot, Marc, Bouvard, Sandrine, Janier, Marc, Yaakub, Siti N., Lartizien, Carole, Costes, Nicolas, Hammers, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690662/
https://www.ncbi.nlm.nih.gov/pubmed/37602538
http://dx.doi.org/10.1002/epi4.12820

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690662/
https://www.ncbi.nlm.nih.gov/pubmed/37602538
http://dx.doi.org/10.1002/epi4.12820

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