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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2023
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| Materias: | |
| 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 |