Evidence map›Paper›PMID 26961687›Full record

ArticlePhysics in medicine and biology2016

Self-calibration of cone-beam CT geometry using 3D-2D image registration.

S Ouadah, J W Stayman, G J Gang, T Ehtiati, J H Siewerdsen

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Forward and Back Projectors for Gradient-based Rigid Motion Estimation in X-ray Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  5. Joint Cone-Beam CT Reconstruction and Rigid Motion Compensation Using A Differentiable Projector.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. [A method for sensitivity analysis of deviation factor for geometric correction of cone-beam CT system].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    Article
  12. Article
  13. Revealing pelvic structures in the presence of metal hip prothesis via non-circular CBCT orbits.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  14. Article
  15. Feature-based CBCT self-calibration for arbitrary trajectories.International journal of computer assisted radiology and surgery · 2022
    Article
  16. Practical workflow for arbitrary non-circular orbits for CT with clinical robotic C-arms.Proceedings of SPIE--the International Society for Optical Engineering · 2022
    Article
  17. Universal orbit design for metal artifact elimination.Physics in medicine and biology · 2022
    Article
  18. Article
  19. [Free trajectory cone beam computed tomography reconstruction method for synchronous scanning of geometric calibration phantom and imaging object].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Article
  20. A level-wise spine registration framework to account for large pose changes.International journal of computer assisted radiology and surgery · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

S OuadahDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD 21205, USA.
J W StaymanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD 21205, USA.
G J GangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD 21205, USA.
T EhtiatiSiemens Medical Solutions USA, Inc., Imaging & Therapy Systems, Hoffman Estates, IL 60192, USA.
J H SiewerdsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD 21205, USA.

Funding

Intraoperative Imaging for Guidance, Patient Safety, and OR Quality AssuranceR01EB017226 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H · 2014 to 2017
$2.1M
NIBIB NIH HHS R01 EB017226NIBIB NIH HHS R01-EB-017226
6 · The paper itself

Abstract

Robotic C-arms are capable of complex orbits that can increase field of view, reduce artifacts, improve image quality, and/or reduce dose; however, it can be challenging to obtain accurate, reproducible geometric calibration required for image reconstruction for such complex orbits. This work presents a method for geometric calibration for an arbitrary source-detector orbit by registering 2D projection data to a previously acquired 3D image. It also yields a method by which calibration of simple circular orbits can be improved. The registration uses a normalized gradient information similarity metric and the covariance matrix adaptation-evolution strategy optimizer for robustness against local minima and changes in image content. The resulting transformation provides a 'self-calibration' of system geometry. The algorithm was tested in phantom studies using both a cone-beam CT (CBCT) test-bench and a robotic C-arm (Artis Zeego, Siemens Healthcare) for circular and non-circular orbits. Self-calibration performance was evaluated in terms of the full-width at half-maximum (FWHM) of the point spread function in CBCT reconstructions, the reprojection error (RPE) of steel ball bearings placed on each phantom, and the overall quality and presence of artifacts in CBCT images. In all cases, self-calibration improved the FWHM-e.g. on the CBCT bench, FWHM  =  0.86 mm for conventional calibration compared to 0.65 mm for self-calibration (p  <  0.001). Similar improvements were measured in RPE-e.g. on the robotic C-arm, RPE  =  0.73 mm for conventional calibration compared to 0.55 mm for self-calibration (p  <  0.001). Visible improvement was evident in CBCT reconstructions using self-calibration, particularly about high-contrast, high-frequency objects (e.g. temporal bone air cells and a surgical needle). The results indicate that self-calibration can improve even upon systems with presumably accurate geometric calibration and is applicable to situations where conventional calibration is not feasible, such as complex non-circular CBCT orbits and systems with irreproducible source-detector trajectory.

Indexed as

AlgorithmsCalibrationCone-Beam Computed TomographyHumansImage Processing, Computer-AssistedImaging, Three-DimensionalPhantoms, Imaging

Identifiers

PMID26961687
PMCPMC4948745

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.