2D/3D Non-Rigid Image Registration via Two Orthogonal X-ray Projection Images for Lung Tumor Tracking

Two-dimensional (2D)/three-dimensional (3D) registration is critical in clinical applications. However, existing methods suffer from long alignment times and high doses. In this paper, a non-rigid 2D/3D registration method based on deep learning with orthogonal angle projections is proposed. The app...

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Detalles Bibliográficos
Autores principales: Dong, Guoya, Dai, Jingjing, Li, Na, Zhang, Chulong, He, Wenfeng, Liu, Lin, Chan, Yinping, Li, Yunhui, Xie, Yaoqin, Liang, Xiaokun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951849/
https://www.ncbi.nlm.nih.gov/pubmed/36829638
http://dx.doi.org/10.3390/bioengineering10020144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951849/
https://www.ncbi.nlm.nih.gov/pubmed/36829638
http://dx.doi.org/10.3390/bioengineering10020144

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