Literature DB >> 26125002

The effects of noise reduction, sharpening, enhancement, and image magnification on diagnostic accuracy of a photostimulable phosphor system in the detection of non-cavitated approximal dental caries.

Zahra Dalili Kajan1, Reza Tayefeh Davalloo2, Mayam Tavangar2, Fatemeh Valizade3.   

Abstract

PURPOSE: Contrast, sharpness, enhancement, and density can be changed in digital systems. The important question is to what extent the changes in these variables affect the accuracy of caries detection.
MATERIALS AND METHODS: Forty eight extracted human posterior teeth with healthy or proximal caries surfaces were imaged using a photostimulable phosphor (PSP) sensor. All original images were processed using a six-step method: (1) applying "Sharpening 2" and "Noise Reduction" processing options to the original images; (2) applying the "Magnification 1:3" option to the image obtained in the first step; (3) enhancing the original images by using the "Diagonal/" option; (4) reviewing the changes brought about by the third step of image processing and then, applying "Magnification 1:3"; (5) applying "Sharpening UM" to the original images; and (6) analyzing the changes brought about by the fifth step of image processing, and finally, applying "Magnification 1:3." Three observers evaluated the images. The tooth sections were evaluated histologically as the gold standard. The diagnostic accuracy of the observers was compared using a chi-squared test.
RESULTS: The accuracy levels irrespective of the image processing method ranged from weak (18.8%) to intermediate (54.2%), but the highest accuracy was achieved at the sixth image processing step. The overall diagnostic accuracy level showed a statistically significant difference (p=0.0001).
CONCLUSION: This study shows that the application of "Sharpening UM" along with the "Magnification 1:3" processing option improved the diagnostic accuracy and the observer agreement more effectively than the other processing procedures.

Entities:  

Keywords:  Dental Caries; Dental Digital Radiography; Image Enhancement

Year:  2015        PMID: 26125002      PMCID: PMC4483624          DOI: 10.5624/isd.2015.45.2.81

Source DB:  PubMed          Journal:  Imaging Sci Dent        ISSN: 2233-7822


  16 in total

1.  Approximal caries depth assessment with storage phosphor versus film radiography. Evaluation of the caries-specific Oslo enhancement procedure.

Authors:  D B Svanaes; A Moystad; T A Larheim
Journal:  Caries Res       Date:  2000 Nov-Dec       Impact factor: 4.056

2.  Influence of displayed image size on radiographic detection of approximal caries.

Authors:  R Haak; M J Wicht; G Nowak; M Hellmich
Journal:  Dentomaxillofac Radiol       Date:  2003-07       Impact factor: 2.419

3.  Intraoral storage phosphor radiography for approximal caries detection and effect of image magnification: comparison with conventional radiography.

Authors:  D B Svanaes; A Møystad; S Risnes; T A Larheim; H G Gröndahl
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  1996-07

4.  Reliability of Logicon caries detector in the detection and depth assessment of dental caries: an in-vitro study.

Authors:  Rohit R Behere; Shailesh M Lele
Journal:  Indian J Dent Res       Date:  2011 Mar-Apr

5.  Observer agreement in the detection of proximal caries with direct digital intraoral radiography.

Authors:  M Naitoh; H Yuasa; M Toyama; M Shiojima; M Nakamura; M Ushida; H Iida; M Hayashi; E Ariji
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  1998-01

6.  Digital enhancement of radiographs: can it improve caries diagnosis?

Authors:  M K Shrout; C M Russell; B J Potter; B J Powell; C F Hildebolt
Journal:  J Am Dent Assoc       Date:  1996-04       Impact factor: 3.634

7.  Accuracy of caries diagnosis in digital images from charge-coupled device and storage phosphor systems: an in vitro study.

Authors:  A Wenzel; E Borg; H Hintze; H G Gröndahl
Journal:  Dentomaxillofac Radiol       Date:  1995-11       Impact factor: 2.419

8.  Assessment of the reliability of radiographic diagnosis in a clinical caries trial.

Authors:  P F de Paola; J Alman
Journal:  J Dent Res       Date:  1972 Sep-Oct       Impact factor: 6.116

9.  Detection of cavitated or non-cavitated approximal enamel caries lesions using CMOS and CCD digital X-ray sensors and conventional D and F-speed films at different exposure conditions.

Authors:  Peter Bottenberg; Wolfgang Jacquet; Vitus Stachniss; Johann Wellnitz; Andreas G Schulte
Journal:  Am J Dent       Date:  2011-04       Impact factor: 1.522

10.  Digital enhancement of radiographs for assessment of interproximal dental caries.

Authors:  V Seneadza; A Koob; J Kaltschmitt; H J Staehle; J Duwenhoegger; P Eickholz
Journal:  Dentomaxillofac Radiol       Date:  2008-03       Impact factor: 2.419

View more
  4 in total

1.  Influence of brightness and contrast adjustments on the diagnosis of proximal caries lesions.

Authors:  Eduarda Hl Nascimento; Hugo Gaêta-Araujo; Karla F Vasconcelos; Bernardo B Freire; Christiano Oliveira-Santos; Francisco Haiter-Neto; Deborah Q Freitas
Journal:  Dentomaxillofac Radiol       Date:  2018-06-15       Impact factor: 2.419

2.  Reduction of scratch or dirt artifacts on intraoral radiographs using dual imaging plates in image processing.

Authors:  Yusuke Imanishi; Takahito Sekiguchi; Masao Kato; Hideaki Kimoto; Toshihiko Amemiya; Ko Dezawa; Kunihito Matsumoto; Yoshinori Arai
Journal:  Oral Radiol       Date:  2022-08-31       Impact factor: 1.882

Review 3.  Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems.

Authors:  Ann Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2021-03-04       Impact factor: 3.525

4.  Efficacy of denoising and enhancement filters for detection of approximal and occlusal caries on digital intraoral radiographs.

Authors:  Abbas Shokri; Shahin Kasraei; Sima Lari; Majid Mahmoodzadeh; Amin Khaleghi; Saeid Musavi; Vahid Akheshteh
Journal:  J Conserv Dent       Date:  2018 Mar-Apr
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.