Evidence map›Paper›PMID 28560241›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2017

Single-view geometric calibration for C-arm inverse geometry CT.

Jordan M Slagowski, David A P Dunkerley, Charles R Hatt, Michael A Speidel

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Jordan M SlagowskiUniversity of Wisconsin, Department of Medical Physics, Madison, Wisconsin, United States.
David A P DunkerleyUniversity of Wisconsin, Department of Medical Physics, Madison, Wisconsin, United States.
Charles R HattUniversity of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States.
Michael A SpeidelUniversity of Wisconsin, Department of Medical Physics, Madison, Wisconsin, United States.

Funding

Low-Dose Tomosynthetic Interventional System For Quantitative Cardiac ImagingR01HL084022 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI SPEIDEL, MICHAEL A · 2007 to 2015
$4.4M
NHLBI NIH HHS R01 HL084022
6 · The paper itself

Abstract

Accurate and artifact-free reconstruction of tomographic images requires precise knowledge of the imaging system geometry. A projection matrix-based calibration method to enable C-arm inverse geometry CT (IGCT) is proposed. The method is evaluated for scanning-beam digital x-ray (SBDX), a C-arm mounted inverse geometry fluoroscopic technology. A helical configuration of fiducials is imaged at each gantry angle in a rotational acquisition. For each gantry angle, digital tomosynthesis is performed at multiple planes and a composite image analogous to a cone-beam projection is generated from the plane stack. The geometry of the C-arm, source array, and detector array is determined at each angle by constructing a parameterized three-dimensional-to-two-dimensional projection matrix that minimizes the sum-of-squared deviations between measured and projected fiducial coordinates. Simulations were used to evaluate calibration performance with translations and rotations of the source and detector. The relative root-mean-square error in a reconstruction of a numerical thorax phantom was 0.4% using the calibration method versus 7.7% without calibration. In phantom studies, reconstruction of SBDX projections using the proposed method eliminated artifacts present in noncalibrated reconstructions. The proposed IGCT calibration method reduces image artifacts when uncertainties exist in system geometry.

Indexed as

C-arm calibrationcomputed tomographyinverse geometryscanning-beam digital x-ray

Identifiers

PMID28560241
PMCPMC5358550

What OpenQuestion holds

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Registered trials

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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.