Effect of image compression of direct digital lateral cephalograms on the identification of cephalometric points

Background: With increase of digital imaging, the need for storage space and transmission speed also increases. Compressed images need less storage space and decrease the transmission time. However, compression could compromise image quality. The aim of this study was to evaluate the influence of im...

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Main Authors: Sima Saghaie, Roshanak Ghaffari
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2014-01-01
Series:Dental Research Journal
Subjects:
Online Access:http://www.drjjournal.net/article.asp?issn=1735-3327;year=2014;volume=11;issue=1;spage=27;epage=31;aulast=Saghaie
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spelling doaj-de709c9d4dbf4cd58d02adcee780f1f22020-11-24T21:34:55ZengWolters Kluwer Medknow PublicationsDental Research Journal1735-33272008-02552014-01-01111273110.4103/1735-3327.127180Effect of image compression of direct digital lateral cephalograms on the identification of cephalometric pointsSima SaghaieRoshanak GhaffariBackground: With increase of digital imaging, the need for storage space and transmission speed also increases. Compressed images need less storage space and decrease the transmission time. However, compression could compromise image quality. The aim of this study was to evaluate the influence of image compression on the identification of cephalometric points on direct digital lateral cephalogram images, compared with the digital imaging and communications in medicine (DICOM) format. Materials and Methods: In this analytical-descriptive study, 19 direct digital lateral cephalograms saved in DICOM format were used. They were converted to joint photographic experts group (JPEG) 2000 format with quality factors 85, 75, and 60 adding up to 76 images (DICOM, JPEG 85, 75, and 60). The images were randomized and eight cephalometric points were identified on each image by a professional, using the x-y coordinate system. Analysis of variance (ANOVA) was applied to investigate if there was a statistically significant difference in the location of cephalometric points between each group of images. All tests were applied at a significance level of 5%. Results: The results did not demonstrate any statistically significant difference in the identification of the eight cephalometric points between the DICOM images and the JPEG2000 quality factors 85, 75, and 60. Conclusion: JPEG2000 images of lateral cephalograms with quality factors 85, 75, and 60 did not demonstrate any alterations in the identification of cephalometric points compared with the DICOM format. JPEG2000 is a reliable file format for the compression of digital lateral cephalograms.http://www.drjjournal.net/article.asp?issn=1735-3327;year=2014;volume=11;issue=1;spage=27;epage=31;aulast=SaghaieCephalometrydata compressiondentaldigitalradiographs
collection DOAJ
language English
format Article
sources DOAJ
author Sima Saghaie
Roshanak Ghaffari
spellingShingle Sima Saghaie
Roshanak Ghaffari
Effect of image compression of direct digital lateral cephalograms on the identification of cephalometric points
Dental Research Journal
Cephalometry
data compression
dental
digital
radiographs
author_facet Sima Saghaie
Roshanak Ghaffari
author_sort Sima Saghaie
title Effect of image compression of direct digital lateral cephalograms on the identification of cephalometric points
title_short Effect of image compression of direct digital lateral cephalograms on the identification of cephalometric points
title_full Effect of image compression of direct digital lateral cephalograms on the identification of cephalometric points
title_fullStr Effect of image compression of direct digital lateral cephalograms on the identification of cephalometric points
title_full_unstemmed Effect of image compression of direct digital lateral cephalograms on the identification of cephalometric points
title_sort effect of image compression of direct digital lateral cephalograms on the identification of cephalometric points
publisher Wolters Kluwer Medknow Publications
series Dental Research Journal
issn 1735-3327
2008-0255
publishDate 2014-01-01
description Background: With increase of digital imaging, the need for storage space and transmission speed also increases. Compressed images need less storage space and decrease the transmission time. However, compression could compromise image quality. The aim of this study was to evaluate the influence of image compression on the identification of cephalometric points on direct digital lateral cephalogram images, compared with the digital imaging and communications in medicine (DICOM) format. Materials and Methods: In this analytical-descriptive study, 19 direct digital lateral cephalograms saved in DICOM format were used. They were converted to joint photographic experts group (JPEG) 2000 format with quality factors 85, 75, and 60 adding up to 76 images (DICOM, JPEG 85, 75, and 60). The images were randomized and eight cephalometric points were identified on each image by a professional, using the x-y coordinate system. Analysis of variance (ANOVA) was applied to investigate if there was a statistically significant difference in the location of cephalometric points between each group of images. All tests were applied at a significance level of 5%. Results: The results did not demonstrate any statistically significant difference in the identification of the eight cephalometric points between the DICOM images and the JPEG2000 quality factors 85, 75, and 60. Conclusion: JPEG2000 images of lateral cephalograms with quality factors 85, 75, and 60 did not demonstrate any alterations in the identification of cephalometric points compared with the DICOM format. JPEG2000 is a reliable file format for the compression of digital lateral cephalograms.
topic Cephalometry
data compression
dental
digital
radiographs
url http://www.drjjournal.net/article.asp?issn=1735-3327;year=2014;volume=11;issue=1;spage=27;epage=31;aulast=Saghaie
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