Literature DB >> 8678345

Digital imaging of cephalometric radiographs, Part 2: Image quality.

D B Forsyth1, W C Shaw, S Richmond, C T Roberts.   

Abstract

The aim of this study was to compare the diagnostic quality of conventional cephalometric radiographs with that of digital image counterparts. The random error associated with angular and linear measurements recorded on the digital images was greater than on the conventional radiographs. In addition, there was a systematic error producing statistically significant differences in the majority of angular and linear measurements between the digital images and the conventional radiographs. The errors that occurred with some measurements were of sufficient magnitude to be of clinical significance, particularly in a cephalometric situation where a high degree of accuracy is required. It is therefore suggested that, for digital imaging of cephalometric radiographs, a pixel matrix larger than 512 x 512 with more than 64 gray levels is required to maintain the diagnostic quality of the original radiograph.

Mesh:

Year:  1996        PMID: 8678345     DOI: 10.1043/0003-3219(1996)066<0043:DIOCRP>2.3.CO;2

Source DB:  PubMed          Journal:  Angle Orthod        ISSN: 0003-3219            Impact factor:   2.079


  6 in total

1.  Prospective study on the reproducibility of cephalometric landmarks on conventional and digital lateral headfilms.

Authors:  K Hagemann; D Vollmer; T Niegel; U Ehmer; I Reuter
Journal:  J Orofac Orthop       Date:  2000       Impact factor: 1.938

2.  Web-based Fully Automated Cephalometric Analysis: Comparisons between App-aided, Computerized, and Manual Tracings.

Authors:  Pamir Meriç; Julia Naoumova
Journal:  Turk J Orthod       Date:  2020-08-11

3.  Reproducibility of measurements in tablet-assisted, PC-aided, and manual cephalometric analysis.

Authors:  Cecilia Goracci; Marco Ferrari
Journal:  Angle Orthod       Date:  2013-10-25       Impact factor: 2.079

4.  The accuracy and reliability of WebCeph for cephalometric analysis.

Authors:  Yassir A Yassir; Aya R Salman; Sarah A Nabbat
Journal:  J Taibah Univ Med Sci       Date:  2021-09-22

5.  An evaluation of cellular neural networks for the automatic identification of cephalometric landmarks on digital images.

Authors:  Rosalia Leonardi; Daniela Giordano; Francesco Maiorana
Journal:  J Biomed Biotechnol       Date:  2009-09-10

6.  The accuracy of a designed software for automated localization of craniofacial landmarks on CBCT images.

Authors:  Shoaleh Shahidi; Ehsan Bahrampour; Elham Soltanimehr; Ali Zamani; Morteza Oshagh; Marzieh Moattari; Alireza Mehdizadeh
Journal:  BMC Med Imaging       Date:  2014-09-16       Impact factor: 1.930

  6 in total

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