Cited by 40Medical Image Segmentation TechniquesMedical Imaging and AnalysisSpinal Fractures and Fixation Techniques

“Gold standard” data for evaluation and comparison of 3D/2D registration methods

Open access
Tomaževič, Dejan, Likar, Boštjan, Pernuš, Franjo·2004·Computer Aided Surgery

Abstract

Evaluation and comparison of registration techniques for image-guided surgery is an important problem that has received little attention in the literature. In this paper we address the challenging problem of generating reliable "gold standard" data for use in evaluating the accuracy of 3D/2D registrations. We have devised a cadaveric lumbar spine phantom with fiducial markers and established highly accurate correspondences between 3D CT and MR images and 18 2D X-ray images. The expected target registration errors for target points on the pedicles are less than 0.26 mm for CT-to-X-ray registration and less than 0.42 mm for MR-to-X-ray registration. As such, the "gold standard" data, which has been made publicly available on the Internet (http://lit.fe.uni-lj.si/Downloads/downloads.asp), is useful for evaluation and comparison of 3D/2D image registration methods.

Integrity signals

Registry

Crossref · 10.3109/10929080500097687

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cited by

Sorted by citations

Authors
Tomaževič, D., Likar, B., & Pernuš, F.
Affiliations
University of Ljubljana (SI)
Corresponding author
Pernuš, Franjo
Venue
Computer Aided Surgery
Published
2004-01
Volume
9
Issue
4
Pages
137-144
ISSN
  • 1092-9088 (ISSN-L)
  • 1097-0150
OpenAlex
W2160468054
Cited by
40
References
0
Citations by year
2025: 1 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 1 · 2015: 3 · 2014: 2 · 2013: 6 · 2012: 2
FWCI
1.37
Type
journal article
Language
en
Open access
Locations
  • Computer Aided Surgery (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
  • Health Sciences › Medicine › Surgery › Spinal Fractures and Fixation Techniques
Keywords
registration evaluation, image-guided surgery, fiducial markers, target registration error
MeSH terms
Aged, Aged, 80 and over, Female, Humans, Image Processing, Computer-Assisted, Lumbar Vertebrae, Magnetic Resonance Imaging, Models, Anatomic, Tomography, X-Ray Computed, Phantoms, Imaging, Imaging, Three-Dimensional

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