Evidence map›Paper›PMID 27516772›Full record

ArticleInternational journal of biomedical imaging2016

Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems.

Johannes Rausch, Andreas Maier, Rebecca Fahrig, Jang-Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess

Open access · goldAbstract read
In one paragraph

Article in International journal of biomedical imaging, 2016. 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
0.7field-weighted citation impact, top 28% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model.International journal of computer assisted radiology and surgery · 2019
    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

10 authors at 2 institutions in 2 countries.

Johannes RauschPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, Germany; Department of Informatics, Technical University of Munich, 85748 Garching bei München, Germany.ORCID 0000-0002-9409-4401
Andreas MaierPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, Germany.ORCID 0000-0002-9550-5284
Rebecca FahrigDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-9034-9449
Jang-Hwan ChoiDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.
Waldo HinshawDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.
Frank SchebeschPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, Germany.ORCID 0000-0002-7553-6390
Sven HaasePattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, Germany.
Jakob WaszaPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, Germany.
Joachim HorneggerPattern Recognition Laboratory, Computer Science Department 5, University of Erlangen-Nuremberg, 91058 Erlangen, Germany.
Christian RiessDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-5556-5338
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective. To demonstrate a novel approach of compensating overexposure artifacts in CT scans of the knees without attaching any supporting appliances to the patient. C-Arm CT systems offer the opportunity to perform weight-bearing knee scans on standing patients to diagnose diseases like osteoarthritis. However, one serious issue is overexposure of the detector in regions close to the patella, which can not be tackled with common techniques. Methods. A Kinect camera is used to algorithmically remove overexposure artifacts close to the knee surface. Overexposed near-surface knee regions are corrected by extrapolating the absorption values from more reliable projection data. To achieve this, we develop a cross-calibration procedure to transform surface points from the Kinect to CT voxel coordinates. Results. Artifacts at both knee phantoms are reduced significantly in the reconstructed data and a major part of the truncated regions is restored. Conclusion. The results emphasize the feasibility of the proposed approach. The accuracy of the cross-calibration procedure can be increased to further improve correction results. Significance. The correction method can be extended to a multi-Kinect setup for use in real-world scenarios. Using depth cameras does not require prior scans and offers the possibility of a temporally synchronized correction of overexposure artifacts. To achieve this, we develop a cross-calibration procedure to transform surface points from the Kinect to CT voxel coordinates.

Identifiers

PMID27516772
PMCPMC4969567
OpenAlexW2501882855

What OpenQuestion holds

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LicenceCC BY
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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.