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Published in: Oral Radiology 2/2023

10-08-2022 | Original Article

Analysis of image defects in digital intraoral radiography based on photostimulable phosphor plates

Authors: Masayasu Tashiro, Atsutoshi Nakatani, Kazutaka Sugiura, Eiji Nakayama

Published in: Oral Radiology | Issue 2/2023

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Abstract

Objectives

In digital intraoral radiography (DIR), images with defects caused by the digital process are sometimes produced. Hence, we analyzed DIR images with defects taken using the photostimulable phosphor (PSP) plate method and then classified these images based on the causes of the defect. The aim of this study was to classify defects in DIR using the PSP plate system, and to discuss the causes of each type of defect and the methods that can prevent their occurrence.

Methods

Images with defects due to the two PSP plate systems (Arcana and Arcana Mira) were selected and classified according to the defect. Image defects caused by geometrical techniques that occur in both the film and PSP plate methods were excluded from this study. Moreover, changes in the rate of occurrence of images with defects over time were analyzed in this study.

Results

The defects in images obtained by the PSP plate system were classified into six types, which were further divided into those caused by machine error or human error. Both types of error could influence the diagnostic performance. Machine error accidentally and rarely occurred; thus, the prevention of such errors is difficult. However, human error, especially errors caused by photo-induced discharge, could be prevented using appropriate measures.

Conclusions

In DIR systems using the PSP plate method, human error should be prevented by education and training to improve operation.
Literature
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Metadata
Title
Analysis of image defects in digital intraoral radiography based on photostimulable phosphor plates
Authors
Masayasu Tashiro
Atsutoshi Nakatani
Kazutaka Sugiura
Eiji Nakayama
Publication date
10-08-2022
Publisher
Springer Nature Singapore
Published in
Oral Radiology / Issue 2/2023
Print ISSN: 0911-6028
Electronic ISSN: 1613-9674
DOI
https://doi.org/10.1007/s11282-022-00645-8

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