Applications of Machine Learning to Improve the Clinical Viability of Compton Camera Based in vivo Range Verification in Proton Radiotherapy

We studied the application of a deep, fully connected Neural Network (NN) to process prompt gamma (PG) data measured by a Compton camera (CC) during the delivery of clinical proton radiotherapy beams. The network identifies 1) recorded “bad” PG events arising from background noise during the measure...

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Detalles Bibliográficos
Autores principales: Polf, Jerimy C., Barajas, Carlos A., Peterson, Stephen W., Mackin, Dennis S., Beddar, Sam, Ren, Lei, Gobbert, Matthias K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481064/
https://www.ncbi.nlm.nih.gov/pubmed/36119562
http://dx.doi.org/10.3389/fphy.2022.838273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481064/
https://www.ncbi.nlm.nih.gov/pubmed/36119562
http://dx.doi.org/10.3389/fphy.2022.838273

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