Synthetic Megavoltage Cone Beam Computed Tomography Image Generation for Improved Contouring Accuracy of Cardiac Pacemakers

In this study, we aimed to enhance the contouring accuracy of cardiac pacemakers by improving their visualization using deep learning models to predict MV CBCT images based on kV CT or CBCT images. Ten pacemakers and four thorax phantoms were included, creating a total of 35 combinations. Each combi...

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Detalles Bibliográficos
Autores principales: Baroudi, Hana, Chen, Xinru, Cao, Wenhua, El Basha, Mohammad D., Gay, Skylar, Gronberg, Mary Peters, Hernandez, Soleil, Huang, Kai, Kaffey, Zaphanlene, Melancon, Adam D., Mumme, Raymond P., Sjogreen, Carlos, Tsai, January Y., Yu, Cenji, Court, Laurence E., Pino, Ramiro, Zhao, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672228/
https://www.ncbi.nlm.nih.gov/pubmed/37998092
http://dx.doi.org/10.3390/jimaging9110245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672228/
https://www.ncbi.nlm.nih.gov/pubmed/37998092
http://dx.doi.org/10.3390/jimaging9110245

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