Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images

PURPOSE: The registration of a 3D atlas image to 2D radiographs enables 3D pre-operative planning without the need to acquire costly and high-dose CT-scans. Recently, many deep-learning-based 2D/3D registration methods have been proposed which tackle the problem as a reconstruction by regressing the...

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Detalles Bibliográficos
Autores principales: Van Houtte, Jeroen, Audenaert, Emmanuel, Zheng, Guoyan, Sijbers, Jan
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/PMC9206611/
https://www.ncbi.nlm.nih.gov/pubmed/35294717
http://dx.doi.org/10.1007/s11548-022-02586-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206611/
https://www.ncbi.nlm.nih.gov/pubmed/35294717
http://dx.doi.org/10.1007/s11548-022-02586-3

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