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Home / Equine Research Bank / Sensors (Basel) / Selection of Filtering and Image Texture Analysis in the Rad...
Sensors (Basel, Switzerland)2022; 22(8); 2920; doi: 10.3390/s22082920

Selection of Filtering and Image Texture Analysis in the Radiographic Images Processing of Horses’ Incisor Teeth Affected by the EOTRH Syndrome.

Abstract: Equine odontoclastic tooth resorption and hypercementosis (EOTRH) is one of the horses' dental diseases, mainly affecting the incisor teeth. An increase in the incidence of aged horses and a painful progressive course of the disease create the need for improved early diagnosis. Besides clinical findings, EOTRH recognition is based on the typical radiographic findings, including levels of dental resorption and hypercementosis. This study aimed to introduce digital processing methods to equine dental radiographic images and identify texture features changing with disease progression. The radiographs of maxillary incisor teeth from 80 horses were obtained. Each incisor was annotated by separate masks and clinically classified as 0, 1, 2, or 3 EOTRH degrees. Images were filtered by , , , , , , , , and filters independently, and 93 features of image texture were extracted using (FOS), (GLCM), (NGTDM), (GLDM), (GLRLM), and (GLSZM) approaches. The most informative processing was selected. GLCM and GLRLM return the most favorable features for the quantitative evaluation of radiographic signs of the EOTRH syndrome, which may be supported by filtering by filters improving the edge delimitation.
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Publication Date: 2022-04-11 PubMed ID: 35458905PubMed Central: PMC9030967DOI: 10.3390/s22082920Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research aims to improve the early diagnosis of a horse dental disease, EOTRH, by introducing digital processing methods to analyze radiographic images of affected horse teeth. It also seeks to identify image texture changes that correspond with the disease’s progression.

Research Context

  • EOTRH, equine odontoclastic tooth resorption and hypercementosis, is a dental disease mainly affecting the incisor teeth of horses.
  • The incidence of EOTRH is increasing in aged horses and the disease is characterized by a painful and progressive course.
  • Current recognition of EOTRH is based on clinical findings and typical radiographic findings, including levels of dental resorption and hypercementosis.
  • Given the disease’s progression and impacts, there is a need for improved early diagnosis.

Research Methodology

  • The researchers obtained the radiographs of maxillary incisor teeth from 80 horses.
  • Each incisor was separately annotated and clinically classified into different EOTRH degrees: 0, 1, 2, or 3.
  • These images were independently filtered by several filters and a set of 93 features of image texture were extracted.
  • The extraction of image texture was conducted using several approaches, including FOS, GLCM, NGTDM, GLDM, GLRLM, and GLSZM.

Study Findings

  • The research identified GLCM and GLRLM as the most favourable features for the quantitative evaluation of radiographic signs of EOTRH syndrome.
  • They also found that certain filters improved the delimitation of edges within the images.

Significance of the Research

  • Introducing digital processing methods to equine dental radiographic images could help identify texture changes that correspond with the disease’s progression.
  • The findings highlight important features and filtering techniques that could be used to improve the early diagnosis of EOTRH in horses.

Cite This Article

APA
Górski K, Borowska M, Stefanik E, Polkowska I, Turek B, Bereznowski A, Domino M. (2022). Selection of Filtering and Image Texture Analysis in the Radiographic Images Processing of Horses’ Incisor Teeth Affected by the EOTRH Syndrome. Sensors (Basel), 22(8), 2920. https://doi.org/10.3390/s22082920

Publication

Sensors (Basel, Switzerland)
ISSN: 1424-8220
NlmUniqueID: 101204366
Country: Switzerland
Language: English
Volume: 22
Issue: 8
PII: 2920

Researcher Affiliations

Górski, Kamil
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.
Borowska, Marta
  • Institute of Biomedical Engineering, Faculty of Mechanical Engineering, Białystok University of Technology, 15-351 Bialystok, Poland.
Stefanik, Elżbieta
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.
Polkowska, Izabela
  • Department and Clinic of Animal Surgery, Faculty of Veterinary Medicine, University of Life Sciences in Lublin, 20-950 Lublin, Poland.
Turek, Bernard
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.
Bereznowski, Andrzej
  • Department of Veterinary Epidemiology and Economics, Faculty of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.
Domino, Małgorzata
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.

MeSH Terms

  • Animals
  • Horse Diseases / diagnostic imaging
  • Horses
  • Hypercementosis / diagnostic imaging
  • Hypercementosis / veterinary
  • Incisor / diagnostic imaging
  • Radiography
  • Tooth Resorption / diagnostic imaging
  • Tooth Resorption / veterinary

Conflict of Interest Statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

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Citations

This article has been cited 3 times.
  1. Górski K, Borowska M, Turek B, Pawlikowski M, Jankowski K, Bereznowski A, Polkowska I, Domino M. An application of the density standard and scaled-pixel-counting protocol to assess the radiodensity of equine incisor teeth affected by resorption and hypercementosis: preliminary advancement in dental radiography.. BMC Vet Res 2023 Aug 9;19(1):116.
    doi: 10.1186/s12917-023-03675-4pubmed: 37559089google scholar: lookup
  2. Górski K, Borowska M, Stefanik E, Polkowska I, Turek B, Bereznowski A, Domino M. Application of Two-Dimensional Entropy Measures to Detect the Radiographic Signs of Tooth Resorption and Hypercementosis in an Equine Model.. Biomedicines 2022 Nov 13;10(11).
    doi: 10.3390/biomedicines10112914pubmed: 36428482google scholar: lookup
  3. Domino M, Borowska M, Zdrojkowski Ł, Jasiński T, Sikorska U, Skibniewski M, Maśko M. Application of the Two-Dimensional Entropy Measures in the Infrared Thermography-Based Detection of Rider: Horse Bodyweight Ratio in Horseback Riding.. Sensors (Basel) 2022 Aug 13;22(16).
    doi: 10.3390/s22166052pubmed: 36015813google scholar: lookup
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