A convolutional neural network-based system to estimate the arterial plasma radioactivity curve in (18)F-FDG dynamic brain PET study

PURPOSE: Quantitative images of metabolic activity can be derived through dynamic PET. However, the conventional approach necessitates invasive blood sampling to acquire the input function, thus limiting its noninvasive nature. The aim of this study was to devise a system based on convolutional neur...

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Detalles Bibliográficos
Autores principales: Kawauchi, Keisuke, Saito, Mui, Nishigami, Kentaro, Katoh, Chietsugu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566592/
https://www.ncbi.nlm.nih.gov/pubmed/37642499
http://dx.doi.org/10.1097/MNM.0000000000001752

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566592/
https://www.ncbi.nlm.nih.gov/pubmed/37642499
http://dx.doi.org/10.1097/MNM.0000000000001752

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