Skip to content
2000
image of Clinical Evaluation of ODIS-1 Orthodontic Operation and Image Quality of Digital Imaging System

Abstract

Background:

With the rapid development of computer technology, the application of digital technology to the display and processing of medical images has become a common concern. In recent years, oral digital imaging technology has received more and more attention.

Objective:

This paper mainly aims at the ODIS-1 oral digital imaging system to analyze and study the image quality and image aims at the ODIS-1 oral digital imaging system to analyze and study the image quality and processing technology, of which X-ray imaging is indispensable.

Methods:

In this paper, the ODIS-1 digital scanning technology is used to detect different types of dental tissues, and its application in diagnosing oral diseases is evaluated. This paper takes 320 inpatients as the research object and uses Kodak dental film to compare the image quality of different positions.

Results:

It is found that there is no significant difference in image quality between the maxillary anterior teeth and mandibular anterior teeth and the maxillary posterior teeth and mandibular posterior teeth (P>0.05); the image quality of maxillary anterior teeth, mandibular anterior teeth, and maxillary posterior teeth and mandibular teeth are significantly different (P<0.05); among the various positions of the ODIS-1 oral digital imaging system, the image quality of the anterior teeth area is the best, while the image quality of the maxillary posterior teeth area is the worst.

Conclusion:

However, the system has a variety of image post-processing functions, which can adjust the brightness and contrast of the image arbitrarily, select the area of interest in the image according to the detection requirements, and perform local amplification, edge enhancement, and other technologies to make the image achieve the best effect. In the case of poor image quality, the clarity of the image can be further improved through image post-processing and analysis.

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Loading

Article metrics loading...

/content/journals/cmir/10.2174/0115734056345020250223150845
2025-03-11
2025-04-23
The full text of this item is not currently available.

References

  1. Li G. Yang J. Diagnostic accuracy of approximal caries in digital radiograph by chinese and american dentists: An in vivo study. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. 2020 130 2 e71 e72 10.1016/j.oooo.2020.03.038
    [Google Scholar]
  2. Koga-Ito C.Y. Kostov K.G. Miranda F.S. Milhan N.V.M. Azevedo Neto N.F. Nascimento F. Pessoa R.S. Cold atmospheric plasma as a therapeutic tool in medicine and dentistry. Plasma Chem. Plasma Process. 2024 44 3 1393 1429 10.1007/s11090‑023‑10380‑5
    [Google Scholar]
  3. Cai H. Zhao B.C. Tian Y. Kim D.H. Sun Y. Lim H.K. Lee E.S. Jiang H.B. Design of a single-tooth model and its application in oral scan system assessment. Scanning 2021 2021 2 1 8 10.1155/2021/8891396 33824693
    [Google Scholar]
  4. Ozdede M. Akarslan Z. Altunkaynak B. Peker I. Turkish adaptation and implementation of the modified infection control questionnaire in intraoral digital imaging. Eur. Oral Res. 2020 54 3 130 135 33543118
    [Google Scholar]
  5. Mathew P. Kattimani V.S. Tiwari R.V.C. Iqbal M.S. Tabassum A. Syed K.G. New classification system for cleft alveolus: A computed tomography-based appraisal. J. Contemp. Dent. Pract. 2020 21 8 942 948 10.5005/jp‑journals‑10024‑2849 33568619
    [Google Scholar]
  6. Sallam M Salim N A Barakat M ChatGPT applications in medical, dental, pharmacy, and public health education: A descriptive study highlighting the advantages and limitations. Narra J. 2023 3 1
    [Google Scholar]
  7. Moghadam E.T. Yazdanian M. Tahmasebi E. Tebyanian H. Ranjbar R. Yazdanian A. Seifalian A. Tafazoli A. Current herbal medicine as an alternative treatment in dentistry: In vitro, in vivo and clinical studies. Eur. J. Pharmacol. 2020 889 173665 10.1016/j.ejphar.2020.173665 33098834
    [Google Scholar]
  8. Bu Y. Research on the application of image processing technology based on SIFT features extraction in the retrieval and classification of artworks. Rev. Fac. Ing. 2017 32 6 162 170
    [Google Scholar]
  9. Akbar F H Pasiga B D Samad R The relationship between service quality, culture similarity to satisfaction and loyalty of medical (dental) tourism. Sys. Rev. Pharm. 2020 11 8
    [Google Scholar]
  10. Roongruangsilp P. Khongkhunthian P. Artificial intelligence with the application in medicine and dentistry. J Osseointegr. 2022 14 3 166 173
    [Google Scholar]
  11. Agrawal P. Nikhade P. Artificial intelligence in dentistry: Past, present, and future. Cureus 2022 14 7 e27405 10.7759/cureus.27405 36046326
    [Google Scholar]
  12. Coulthard P. Dentistry and coronavirus (COVID-19) - Moral decision-making. Br. Dent. J. 2020 228 7 503 505 10.1038/s41415‑020‑1482‑1 32277203
    [Google Scholar]
  13. Ossowska A. Kusiak A. Świetlik D. Artificial intelligence in dentistry—Narrative review. Int. J. Environ. Res. Public Health 2022 19 6 3449 10.3390/ijerph19063449 35329136
    [Google Scholar]
  14. Meng L. Hua F. Bian Z. Coronavirus disease 2019 (COVID-19): Emerging and future challenges for dental and oral medicine. J. Dent. Res. 2020 99 5 481 487 10.1177/0022034520914246 32162995
    [Google Scholar]
  15. Sindhu D Sindhu S . Image processing technology application for early detection and classification of plant diseases. Int. J. Comput. Sci. Eng. 2019 7 5 92 97
    [Google Scholar]
  16. Kumar A. Bhadauria H.S. Singh A. Descriptive analysis of dental X-ray images using various practical methods: A review. PeerJ Comput. Sci. 2021 7 e620 10.7717/peerj‑cs.620 34616881
    [Google Scholar]
  17. Muresan M.P. Barbara A.R. Nedevschi S. Teeth detection and dental problem classification in panoramic X-ray images using deep learning and image processing techniques. 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP) Cluj-Napoca, Romania, 03-05 September 2020, pp. 457-463.
    [Google Scholar]
  18. Karagyozov P. Boeva I. Tishkov I. Role of digital single-operator cholangioscopy in the diagnosis and treatment of biliary disorders. World J. Gastrointest. Endosc. 2019 11 1 31 40 10.4253/wjge.v11.i1.31 30705730
    [Google Scholar]
  19. Johnson B. Laprade C. Broome A. Mol A. Platin E. Bitewing dosimetry of 3-dimensional intraoral tomosynthesis dental x-ray imaging system. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. 2020 130 2 e62 e63 10.1016/j.oooo.2020.03.019
    [Google Scholar]
  20. Yoon S. Jung H.J. Knowles J.C. Lee H.H. Digital image correlation in dental materials and related research: A review. Dent. Mater. 2021 37 5 758 771 10.1016/j.dental.2021.02.024 33715864
    [Google Scholar]
  21. Reddy C.H. Anitha M. Feroz A. Chandrashekar L. Sudarshan R. Vigneswary Digital imaging analysis with fractal dimension in oral leukoplakia. Asian J Res Med Pharm Sci. 2017 2 1 1 5 10.9734/AJRIMPS/2017/36744
    [Google Scholar]
  22. Coelho-Silva F. Gaêta-Araujo H. Rosado L.P.L. Freitas D.Q. Haiter-Neto F. de-Azevedo-Vaz S.L. Distortion or magnification? An in vitro cone-beam CT study of dimensional changes of objects with different compositions. Dentomaxillofac. Radiol. 2021 50 8 20210063 10.1259/dmfr.20210063 34111368
    [Google Scholar]
/content/journals/cmir/10.2174/0115734056345020250223150845
Loading
/content/journals/cmir/10.2174/0115734056345020250223150845
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test