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

Sima Saghaie, Roshanak Ghaffari

Abstract


Background: fl uence of image compression on the identifi  Materials and Methods: fi  fi  fi  Results: Conclusion: fi  fi  le format for the compression of digital lateral cephalograms.cation of cephalometric points compared with theDICOM format. JPEG2000 is a reliable JPEG2000 images of lateral cephalograms with quality factors 85, 75, and 60 didnot demonstrate any alterations in the identi The results did not demonstrate any statistically signifi cant difference in the identifi cation of the eight cephalometric points between the DICOM images and the JPEG2000 quality factors85, 75, and 60.cance level of 5%.cant difference in the location of cephalometric pointsbetween each group of images. All tests were applied at a signi ed on each image by a professional, using the x-y coordinate system. Analysis of variance (ANOVA) was appliedto investigate if there was a statistically signiIn 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 identication of cephalometric points on direct digital lateral cephalogram images, compared with the digital imaging and communications in medicine(DICOM) format.

With increase of digital imaging, the need for storage space and transmission speedKey Words:

Cephalometry, data compression, dental, digital, radiographs 

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 in


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