Multi-Stage Adaptive Spline Autofocus (MASA) with a Learned Metric for Deformable Motion Compensation in Interventional Cone-Beam CT.

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

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

Afiliación

Huang H; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA.
Siewerdsen JH; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA.
Lu A; Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, MD USA.
Hu Y; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston TX USA.
Zbijewski W; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA.
Unberath M; Department of Computer Science, Johns Hopkins University, Baltimore, MD USA.
Weiss CR; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA.
Sisniega A; Department of Computer Science, Johns Hopkins University, Baltimore, MD USA.

Proc SPIE Int Soc Opt Eng ; 124632023 Feb.

Article en En | MEDLINE | ID: mdl-37937146

Palabras clave

cone-beam CT; intraoperative imaging; machine learning; motion compensation; soft-tissue imaging

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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