Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks

OBJECTIVE: We propose a deep learning-guided approach to generate voxel-based absorbed dose maps from whole-body CT acquisitions. METHODS: The voxel-wise dose maps corresponding to each source position/angle were calculated using Monte Carlo (MC) simulations considering patient- and scanner-specific...

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Detalles Bibliográficos
Autores principales: Salimi, Yazdan, Akhavanallaf, Azadeh, Mansouri, Zahra, Shiri, Isaac, Zaidi, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667156/
https://www.ncbi.nlm.nih.gov/pubmed/37368113
http://dx.doi.org/10.1007/s00330-023-09839-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667156/
https://www.ncbi.nlm.nih.gov/pubmed/37368113
http://dx.doi.org/10.1007/s00330-023-09839-y

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