Quantification of computational geometric congruence in surface-based registration for spinal intra-operative three-dimensional navigation

BACKGROUND CONTEXT: Computer-assisted navigation (CAN) may guide spinal instrumentation, and requires alignment of patient anatomy to imaging. Iterative closest-point (ICP) algorithms register anatomical and imaging surface datasets, which may fail in the presence of geometric symmetry (congruence),...

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Detalles Bibliográficos
Autores principales: Guha, Daipayan, Jakubovic, Raphael, Leung, Michael K., Ginsberg, Howard J., Fehlings, Michael G., Mainprize, Todd G., Yee, Albert, Yang, Victor X. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710030/
https://www.ncbi.nlm.nih.gov/pubmed/31450234
http://dx.doi.org/10.1371/journal.pone.0207137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710030/
https://www.ncbi.nlm.nih.gov/pubmed/31450234
http://dx.doi.org/10.1371/journal.pone.0207137

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