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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),...
Autores principales: | Guha, Daipayan, Jakubovic, Raphael, Leung, Michael K., Ginsberg, Howard J., Fehlings, Michael G., Mainprize, Todd G., Yee, Albert, Yang, Victor X. D. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
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 |
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