Feature-based CBCT self-calibration for arbitrary trajectories

PURPOSE: Development of an algorithm to self-calibrate arbitrary CBCT trajectories which can be used to reduce metal artifacts. By using feature detection and matching we want to reduce the amount of parameters for the BFGS optimization and thus reduce the runtime. METHODS: Each projection is 2D-3D...

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Detalles Bibliográficos
Autores principales: Tönnes, Christian, Russ, Tom, Schad, Lothar R., Zöllner, Frank G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515027/
https://www.ncbi.nlm.nih.gov/pubmed/35593987
http://dx.doi.org/10.1007/s11548-022-02645-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515027/
https://www.ncbi.nlm.nih.gov/pubmed/35593987
http://dx.doi.org/10.1007/s11548-022-02645-9

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