Development of an anthropomorphic multimodality pelvic phantom for quantitative evaluation of a deep‐learning‐based synthetic computed tomography generation technique

PURPOSE: The objective of this study was to fabricate an anthropomorphic multimodality pelvic phantom to evaluate a deep‐learning‐based synthetic computed tomography (CT) algorithm for magnetic resonance (MR)‐only radiotherapy. METHODS: Polyurethane‐based and silicone‐based materials with various si...

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Detalles Bibliográficos
Autores principales: Jin, Hyeongmin, Lee, Sung Young, An, Hyun Joon, Choi, Chang Heon, Chie, Eui Kyu, Wu, Hong‐Gyun, Park, Jong Min, Park, Sukwon, Kim, Jung‐in
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359037/
https://www.ncbi.nlm.nih.gov/pubmed/35579090
http://dx.doi.org/10.1002/acm2.13644

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359037/
https://www.ncbi.nlm.nih.gov/pubmed/35579090
http://dx.doi.org/10.1002/acm2.13644

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