Numerical Evaluation of Image Contrast for Thicker and Thinner Objects among Current Intraoral Digital Imaging Systems

Joint Authors

Honda, Ei-ichi
Dashpuntsag, Oyunbat
Yoshida, Midori
Kasai, Ryosuke
Maeda, Naoki
Hosoki, Hidehiko

Source

BioMed Research International

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-04-09

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract EN

The purpose is to evaluate the performance of current intraoral digital detectors in detail using a precise phantom and new method.

Two aluminum step wedges in 0.5 mm steps were exposed by two photostimulable phosphor plate (PSP) systems—one with automatic exposure compensation (AEC) and the other without AEC—and a CCD sensor.

Images were obtained with 3 doses at 60 kV.

The effect of metallic material also was evaluated.

The contrast-to-noise ratio (CNR) for thinner steps and the low contrast value (LCV) for thicker steps were obtained.

The CCD system was the best under all conditions (P<0.001), although the Gray value was sensitive to the dose, and the Gray value-dose relation varied greatly.

The PSP system with AEC was superior to that without AEC for the LCV (P<0.001) but was inferior to it regarding the CNR (P<0.001).

CNR and LCV in the PSP system without AEC were not affected by the metallic plate.

Intraoral digital imaging systems should be chosen according to their diagnostic purpose.

PSP system with AEC may be the best for detecting molar proximal caries, whereas the PSP system without AEC may be better for evaluating small bone regeneration in periodontal disease.

The CCD system provided the best performance.

American Psychological Association (APA)

Dashpuntsag, Oyunbat& Yoshida, Midori& Kasai, Ryosuke& Maeda, Naoki& Hosoki, Hidehiko& Honda, Ei-ichi. 2017. Numerical Evaluation of Image Contrast for Thicker and Thinner Objects among Current Intraoral Digital Imaging Systems. BioMed Research International،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1137494

Modern Language Association (MLA)

Dashpuntsag, Oyunbat…[et al.]. Numerical Evaluation of Image Contrast for Thicker and Thinner Objects among Current Intraoral Digital Imaging Systems. BioMed Research International No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1137494

American Medical Association (AMA)

Dashpuntsag, Oyunbat& Yoshida, Midori& Kasai, Ryosuke& Maeda, Naoki& Hosoki, Hidehiko& Honda, Ei-ichi. Numerical Evaluation of Image Contrast for Thicker and Thinner Objects among Current Intraoral Digital Imaging Systems. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1137494

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1137494