Simulation of Random Deformable Motion in Soft-Tissue Cone-Beam CT with Learned Models.

Hu, Y; Huang, H; Siewerdsen, J H; Zbijewski, W; Unberath, M; Weiss, C R; Sisniega, A

Hu, Y; Huang, H; Siewerdsen, J H; Zbijewski, W; Unberath, M; Weiss, C R; Sisniega, A.

Afiliación

Hu Y; Dept. of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Huang H; Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Siewerdsen JH; Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Zbijewski W; Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Unberath M; Dept. of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Weiss CR; Russel H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, MD, USA.
Sisniega A; Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.

Proc SPIE Int Soc Opt Eng ; 123042022 Jun.

Article en En | MEDLINE | ID: mdl-36381251

Palabras clave

Deep Learning; Interventional CBCT; Motion Compensation; Motion Simulation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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