Estimation of lung tumor position from multiple anatomical features on 4D‐CT using multiple regression analysis

To estimate the lung tumor position from multiple anatomical features on four‐dimensional computed tomography (4D‐CT) data sets using single regression analysis (SRA) and multiple regression analysis (MRA) approach and evaluate an impact of the approach on internal target volume (ITV) for stereotact...

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Detalles Bibliográficos
Autores principales: Ono, Tomohiro, Nakamura, Mitsuhiro, Hirose, Yoshinori, Kitsuda, Kenji, Ono, Yuka, Ishigaki, Takashi, Hiraoka, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663969/
https://www.ncbi.nlm.nih.gov/pubmed/28661100
http://dx.doi.org/10.1002/acm2.12121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663969/
https://www.ncbi.nlm.nih.gov/pubmed/28661100
http://dx.doi.org/10.1002/acm2.12121

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