Literature DB >> 9927091

Assessment of image quality in dental radiography, part 2: optimum exposure conditions for detection of small mass changes in 6 intraoral radiography systems.

K Yoshiura1, T Kawazu, T Chikui, M Tatsumi, K Tokumori, T Tanaka, S Kanda.   

Abstract

OBJECTIVE: The purpose of this study was to compare 2 film systems and several digital intraoral systems with regard to visual image quality through use of a test phantom developed for this purpose. STUDY
DESIGN: The detectors used for digital imaging were as follows: Computed Dental Radiography (CDR), Digora, Dixel, and Sens-A-Ray without scintillator layer. Two types of digital images were prepared for the observer performance test: one with original gray scales and another with contrast enhancement. Images with and without enhancement from the 4 systems were displayed to 7 observers. The change in the average number of perceptible holes was plotted against exposure, and modified perceptibility curves were created and compared with curves for the film systems. The exposure level at which the maximum number of holes was perceived was defined to be optimum. The optimum exposure levels were determined for each digital system and compared with that of the film systems. At the optimum exposure, the average maximum numbers of perceptible holes in each digital system with and without contrast enhancement were compared with the maximum numbers for the film systems. The minimum exposure levels were determined to be those at which the number of perceptible holes exceeded the number for film, and the possibility of exposure reduction was evaluated.
RESULTS: All digital systems except the Digora system showed lower optimum exposures than E-speed film. In all digital images without enhancement, however, the maximum number of perceptible holes was significantly lower than that for the film systems at that exposure. With contrast enhancement, all digital systems except the Sens-A-Ray system showed visibility superior to that of the film systems. With the CDR, Digora, and Dixel systems, exposures could be further reduced by a considerable amount, with greater retention of information than was associated with film.
CONCLUSIONS: Our results strongly suggest that digital systems, if properly used, can exceed film systems in the detection of small mass changes.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 9927091     DOI: 10.1016/s1079-2104(99)70305-7

Source DB:  PubMed          Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod        ISSN: 1079-2104


  11 in total

1.  Diagnostic accuracy of proximal enamel subsurface demineralization and its relationship with calcium loss and lesion depth.

Authors:  E Onem; B G Baksi; B H Sen; O Sögüt; A Mert
Journal:  Dentomaxillofac Radiol       Date:  2011-11-10       Impact factor: 2.419

2.  Alternative X-ray filters for an intra-oral digital radiographic system.

Authors:  J Stecke; A D Cruz; S M Almeida; F N Bóscolo
Journal:  Dentomaxillofac Radiol       Date:  2012-01-26       Impact factor: 2.419

3.  Comparison of psychophysical properties of two intraoral digital sensors on low-contrast perceptibility.

Authors:  X-Q Shi; D Benchimol; K Näsström
Journal:  Dentomaxillofac Radiol       Date:  2013-10-29       Impact factor: 2.419

4.  Evaluation of low-contrast perceptibility in dental restorative materials under the influence of ambient light conditions.

Authors:  A D Cruz; I C Lobo; A L B Lemos; M F Aguiar
Journal:  Dentomaxillofac Radiol       Date:  2015-01-28       Impact factor: 2.419

5.  A new method to evaluate image quality of CBCT images quantitatively without observers.

Authors:  Yohei Takeshita; Mayumi Shimizu; Kazutoshi Okamura; Shoko Yoshida; Warangkana Weerawanich; Kenji Tokumori; Gainer R Jasa; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2017-02-17       Impact factor: 2.419

6.  A mathematical model relating changes of grey values to changes of thicknesses of a stepwedge.

Authors:  H Geha; B Bechara; T Faddoul; M Noujeim
Journal:  Dentomaxillofac Radiol       Date:  2012-07-27       Impact factor: 2.419

7.  Prediction of detectability of the mandibular canal by quantitative image quality evaluation using cone beam CT.

Authors:  Yohei Takeshita; Mayumi Shimizu; Gainer R Jasa; Warangkana Weerawanich; Kazutoshi Okamura; Shoko Yoshida; Kenji Tokumori; Junichi Asaumi; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2018-02-13       Impact factor: 2.419

Review 8.  The missing link in image quality assessment in digital dental radiography.

Authors:  Kazutoshi Okamura; Kazunori Yoshiura
Journal:  Oral Radiol       Date:  2019-07-13       Impact factor: 1.852

9.  Image quality evaluation of eight complementary metal-oxide semiconductor intraoral digital X-ray sensors.

Authors:  Sorin Teich; Wisam Al-Rawi; Masahiro Heima; Fady F Faddoul; Gil Goldzweig; Zvi Gutmacher; Dror Aizenbud
Journal:  Int Dent J       Date:  2016-04-22       Impact factor: 2.607

10.  Effect of differences in pixel size on image characteristics of digital intraoral radiographic systems: a physical and visual evaluation.

Authors:  Taku Kuramoto; Shinya Takarabe; Kazutoshi Okamura; Kenshi Shiotsuki; Yusuke Shibayama; Hiroki Tsuru; Hiroshi Akamine; Masato Tatsumi; Toyoyuki Kato; Junji Morishita; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2020-05-07       Impact factor: 2.419

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.