Evaluation of Intensity-Based 2D-3D Spine Image Registration Using Clinical Gold-Standard Data
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Comparative studies suggest that local metrics tend to demonstrate better performance than global metrics.
“Although the best performing similarity metric is application-dependent, comparative studies (Birkfellner et al 2009, Russakoff et al 2003) suggest that local metrics tend to demonstrate better performance.”
From Robust 3D–2D image registration: application to spine interventions and vertebral labeling in the presence of anatomical deformation (2013) · cites this paper as Russakoff et al 2003
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References 14 · Cited by 43
- Authors
- Russakoff, D. B., Rohlfing, T., Ho, A., Kim, D. H., Shahidi, R., Adler, J. R., & Maurer, C. R.
- Affiliations
- Stanford Medicine (US)
- Corresponding author
- Russakoff, Daniel B.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2003
- Pages
- 151-160
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1527240959
- Cited by
- 43
- References
- 14
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2015: 1 · 2014: 2 · 2013: 3 · 2012: 4
- FWCI
- 3.69
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
- Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
- Keywords
- 2D-3D registration, spinal imaging, intensity-based registration, image similarity measures, mutual information, cross correlation function, gradient correlation, target registration error, bone implants
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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