Reproducibility of the principal component analysis (PCA)‐based data‐driven respiratory gating on texture features in non‑small cell lung cancer patients with (18)F‑FDG PET/CT

OBJECTIVE: Texture analysis is one of the lung cancer countermeasures in the field of radiomics. Even though image quality affects texture features, the reproducibility of principal component analysis (PCA)‐based data‑driven respiratory gating (DDG) on texture features remains poorly understood. Hen...

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Detalles Bibliográficos
Autores principales: Fukai, Shohei, Daisaki, Hiromitsu, Ishiyama, Mitsutomi, Shimada, Naoki, Umeda, Takuro, Motegi, Kazuki, Ito, Ryoma, Terauchi, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161026/
https://www.ncbi.nlm.nih.gov/pubmed/36943700
http://dx.doi.org/10.1002/acm2.13967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161026/
https://www.ncbi.nlm.nih.gov/pubmed/36943700
http://dx.doi.org/10.1002/acm2.13967

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