Evidence map›Paper›PMID 28681247›Full record

ArticleClinical oral investigations2018

Impact of manual control point selection accuracy on automated surface matching of digital dental models.

Kathrin Becker, Benedict Wilmes, Chantal Grandjean, Dieter Drescher

Abstract read
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In one paragraph

Article in Clinical oral investigations, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Influence of Superimposition Strategies and Landmark Distribution on the Full-Arch Trueness of Orthodontic Digital Models.Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] · 2026
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  7. Upper Midline Correction Using the Mesial-Distalslider.Bioengineering (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. The threshold of an intra oral scanner to measure lesion depth on natural unpolished teeth.Dental materials : official publication of the Academy of Dental Materials · 2022
    Article
  13. Article
  14. Article
  15. Accuracy of Dental and Industrial 3D Printers.Journal of prosthodontics : official journal of the American College of Prosthodontists · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Skeletally anchored mesialization of molars using digitized casts and two surface-matching approaches : Analysis of treatment effects.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2018
    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.

Kathrin BeckerDepartment of Orthodontics, Universitätsklinikum Düsseldorf, Düsseldorf, Germany. kathrin.becker@med.uni-dueseldorf.de.
Benedict WilmesDepartment of Orthodontics, Universitätsklinikum Düsseldorf, Düsseldorf, Germany.
Chantal GrandjeanDepartment of Orthodontics, Universitätsklinikum Düsseldorf, Düsseldorf, Germany.
Dieter DrescherDepartment of Orthodontics, Universitätsklinikum Düsseldorf, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTreatment outcomes are frequently evaluated based on the superimposition of digital dental models. However, errors from surface matching may distort these findings. The aims of this study were (i) to develop a simulation unit to mimic point set registrations and (ii) to evaluate the impact and clinical relevance of manual landmark selection errors on registration accuracy. MATERIAL AND

methodsTen randomly selected dental casts were digitized using a 3D laser scanner, and were loaded by an in-house developed simulation unit (MATLAB R2014a). First, the models were digitally duplicated and one surface was rotated and translated at random. Landmark-based registration was performed with 3 to 15 landmarks, and Gaussian noise was increased iteratively from 0 to 2 mm which simulated CP selection inaccuracy. Iterative closest point (ICP) matching was performed with and without addition of Gaussian noise. Finally, root-mean-squared (RMS) errors and Hausdorff distances were calculated, and averaged for each matching algorithm and noise level.

resultsSelection of 10 control points provided reliable registration even in the presence of noise. ICP improved registration results, but noise above 0.5 mm clearly worsened the outcomes.

conclusionReliable superimposition of digital dental models is possible if 10 carefully selected control points with deviation below 0.5 mm are used for initial landmark-based registration. CLINICAL RELEVANCE: Potential registration errors should be considered carefully whenever superimposed digital dental models are interpreted.

Indexed as

LasersModels, DentalAnatomic LandmarksComputer SimulationHumansImage EnhancementImage Processing, Computer-AssistedMaxillaDigital dental modelsIterative closest point matchingManual control pointsPalatal-based matchingRegistration accuracySimulation unitSurface matching

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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.