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Article: A new method for evaluating perceptible contrast information in digital intraoral radiographic systems

TitleA new method for evaluating perceptible contrast information in digital intraoral radiographic systems
Authors
KeywordsDigital Dental Radiography
Digital Radiography
Perception
Issue Date2011
Citation
Oral Radiology, 2011, v. 27 n. 2, p. 98-101 How to Cite?
AbstractObjectives: To evaluate four digital intraoral radiographic systems using perceptibility curves (PCs) in a grayscale domain and to clarify the usefulness of this new method. Methods: Four systems were evaluated, namely the CDR, Dixel, Digora, and Digora Optime. An aluminum phantom with 12 steps was radiographed using all four systems. The mean gray values and their standard deviations were measured for each step as well as the background of the images for each device. The minimum perceptible gray level differences at a given exposure were calculated from the mean gray values and standard deviations, and a PC in the grayscale domain was constructed at each exposure for all devices. The area under the PC was assumed to be the perceptible contrast information at that exposure for each system. By combining the PCs at all exposures for each system, the maximum perceptible contrast information in each system was calculated. The correlation between the perceptible contrast information and the number of perceptible holes by observers at each exposure was examined for all four digital systems. Results: The Dixel and Digora Optime showed similar PCs, and their minimum perceptible gray level differences were the smallest among the systems. The correlation between the number of perceptible holes and the areas under the PCs at each exposure for the four systems was relatively high (r = 0.92). Conclusions: The areas under the PCs in a grayscale domain were highly correlated with observer performance. This method can be used to evaluate the image quality of new digital systems. © 2011 Japanese Society for Oral and Maxillofacial Radiology and Springer.
Persistent Identifierhttp://hdl.handle.net/10722/154693
ISSN
2015 Impact Factor: 0.449
2015 SCImago Journal Rankings: 0.302
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorOkamura, Ken_US
dc.contributor.authorYoshiura, Ken_US
dc.contributor.authorTatsumi, Men_US
dc.contributor.authorKawazu, Ten_US
dc.contributor.authorChikui, Ten_US
dc.contributor.authorShimizu, Men_US
dc.contributor.authorGoto, TKen_US
dc.date.accessioned2012-08-08T08:26:57Z-
dc.date.available2012-08-08T08:26:57Z-
dc.date.issued2011en_US
dc.identifier.citationOral Radiology, 2011, v. 27 n. 2, p. 98-101en_US
dc.identifier.issn0911-6028en_US
dc.identifier.urihttp://hdl.handle.net/10722/154693-
dc.description.abstractObjectives: To evaluate four digital intraoral radiographic systems using perceptibility curves (PCs) in a grayscale domain and to clarify the usefulness of this new method. Methods: Four systems were evaluated, namely the CDR, Dixel, Digora, and Digora Optime. An aluminum phantom with 12 steps was radiographed using all four systems. The mean gray values and their standard deviations were measured for each step as well as the background of the images for each device. The minimum perceptible gray level differences at a given exposure were calculated from the mean gray values and standard deviations, and a PC in the grayscale domain was constructed at each exposure for all devices. The area under the PC was assumed to be the perceptible contrast information at that exposure for each system. By combining the PCs at all exposures for each system, the maximum perceptible contrast information in each system was calculated. The correlation between the perceptible contrast information and the number of perceptible holes by observers at each exposure was examined for all four digital systems. Results: The Dixel and Digora Optime showed similar PCs, and their minimum perceptible gray level differences were the smallest among the systems. The correlation between the number of perceptible holes and the areas under the PCs at each exposure for the four systems was relatively high (r = 0.92). Conclusions: The areas under the PCs in a grayscale domain were highly correlated with observer performance. This method can be used to evaluate the image quality of new digital systems. © 2011 Japanese Society for Oral and Maxillofacial Radiology and Springer.en_US
dc.languageengen_US
dc.relation.ispartofOral Radiologyen_US
dc.subjectDigital Dental Radiographyen_US
dc.subjectDigital Radiographyen_US
dc.subjectPerceptionen_US
dc.titleA new method for evaluating perceptible contrast information in digital intraoral radiographic systemsen_US
dc.typeArticleen_US
dc.identifier.emailGoto, TK:gototk@hku.hken_US
dc.identifier.authorityGoto, TK=rp01434en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s11282-011-0068-7en_US
dc.identifier.scopuseid_2-s2.0-83655167362en_US
dc.identifier.hkuros203957-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-83655167362&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume27en_US
dc.identifier.issue2en_US
dc.identifier.spage98en_US
dc.identifier.epage101en_US
dc.identifier.isiWOS:000297710400002-
dc.publisher.placeJapanen_US
dc.identifier.scopusauthoridOkamura, K=7402447805en_US
dc.identifier.scopusauthoridYoshiura, K=7006527913en_US
dc.identifier.scopusauthoridTatsumi, M=7102266632en_US
dc.identifier.scopusauthoridKawazu, T=7003856408en_US
dc.identifier.scopusauthoridChikui, T=35548505400en_US
dc.identifier.scopusauthoridShimizu, M=7404138590en_US
dc.identifier.scopusauthoridGoto, TK=7403938313en_US
dc.identifier.citeulike9436570-

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