Accurate and precise 2D–3D registration based on X-ray intensity
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Classical 2D/3D rigid registration methods apply ray tracing to CT volumes to render synthetic X-rays (DRRs).
“Classical 2D/3D rigid registration methods apply ray tracing to CT volumes to render synthetic X-rays, referred to as digitally reconstructed radiographs (DRRs) in medical imaging [4, 53].”
From Intraoperative 2D/3D Image Registration via Differentiable X-Ray Rendering (2024) · cites this paper as [4]
Cited by
Sorted by citations
Intraoperative 2D/3D Image Registration via Differentiable X-Ray Rendering
Gopalakrishnan, V., Dey, N., & Golland, P. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52733.2024.01108 · Cited by 48 · see citing works
“Classical 2D/3D rigid registration methods apply ray tracing to CT volumes to render synthetic X-rays, referred to as digitally reconstructed radiographs (DRRs) in medical imaging [4, 53].”
Background
- Authors
- Aouadi, S., & Sarry, L.
- Affiliations
- Inserm (FR)
- Corresponding author
- Sarry, Laurent
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2008-04
- Volume
- 110
- Issue
- 1
- Pages
- 134-151
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2043244405
- Cited by
- 30
- References
- 0
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 1 · 2022: 2 · 2020: 3 · 2019: 1 · 2017: 1 · 2016: 2 · 2015: 1 · 2013: 3 · 2012: 3
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Computer Vision and Image Understanding (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Engineering › Media Technology › Image Processing Techniques and Applications
- Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
- Keywords
- 2D-3D registration, X-ray projections, mutual information, X-ray attenuation, Parzen window density estimation, bandwidth estimation, stochastic clustering, CAD models
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review