Evidence map›Paper›PMID 29854367›Full record

ArticleJournal of healthcare engineering2018

Intensity-Based Nonoverlapping Area Registration Supporting "Drop-Outs" in Terms of Model-Based Radiostereometric Analysis.

Ondrej Klima, Petr Novobilsky, Roman Madeja, David Barina, Adam Chromy, Michal Spanel, Pavel Zemcik

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Ondrej KlimaIT4Innovations Centre of Excellence, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic.ORCID 0000-0001-9295-065X
Petr NovobilskyRadiology Institute, University Hospital in Ostrava, 17 Listopadu 1790, 708 52 Ostrava, Czech Republic.ORCID 0000-0001-9921-0515
Roman MadejaTrauma Center, University Hospital in Ostrava, 17 Listopadu 1790, 708 52 Ostrava, Czech Republic.
David BarinaIT4Innovations Centre of Excellence, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic.ORCID 0000-0003-0917-5512
Adam ChromyDepartment of Control and Instrumentation, Brno University of Technology, Technicka 3082/12, 616 00 Brno, Czech Republic.ORCID 0000-0002-8184-2255
Michal SpanelIT4Innovations Centre of Excellence, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic.ORCID 0000-0003-0193-684X
Pavel ZemcikIT4Innovations Centre of Excellence, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic.ORCID 0000-0001-7969-5877

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A model-based radiostereometric analysis (MBRSA) is a method for precise measurement of prosthesis migration, which does not require marking the implant with tantalum beads. Instead, the prosthesis pose is typically recovered using a feature-based 2D-3D registration of its virtual model into a stereo pair of radiographs. In this study, we evaluate a novel intensity-based formulation of previously published nonoverlapping area (NOA) approach. The registration is capable of performing with both binary radiographic segmentations and nonsegmented X-ray images. In contrast with the feature-based version, it is capable of dealing with unreliable parts of prosthesis. As the straightforward formulation allows efficient acceleration using modern graphics adapters, it is possible to involve precise high-poly virtual models. Moreover, in case of binary segmentations, the nonoverlapping area is simply interpretable and useful for indicating the accuracy of the registration outcome. In silico and phantom evaluations were performed using a cementless Zweymüller femoral stem and its reverse engineered (RE) model. For initial pose estimates with difference from the ground-truth limited to ±4 mm and ±4°, respectively, the mean absolute translational error was not higher than 0.042 ± 0.035 mm. The error in rotation around the proximodistal axis was 0.181 ± 0.265°, and the error for the remaining axes was not higher than 0.035 ± 0.037°.

Indexed as

Equipment Failure AnalysisFemurHip ProsthesisHumansImage Processing, Computer-AssistedPhantoms, ImagingRadiostereometric AnalysisTantalumTantalum

Identifiers

PMID29854367
PMCPMC5960567

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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.