Literature DB >> 18033946

Perceptibility curve test for digital radiographs before and after application of various image processing algorithms.

E Alpöz1, E Soğur, B G Baksi Akdeniz.   

Abstract

OBJECTIVES: The aim of the present study was to compare digital radiographs before and after the application of various digital image enhancement methods by means of a perceptibility curve (PC) test.
METHODS: Radiographs of an aluminium test object containing holes with sizes ranging from 0.5 mm to 1.5 mm were exposed at nine time settings, ranging from 0.05 s to 3.2 s using Digora (Soredex, Helsinki, Finland) storage phosphor system. Original digital images were then enhanced and displayed in colour-coded, contrast- and brightness-enhanced, histogram-equalized and negative modes. Thus, five series of images were created. Eight observers independently evaluated all of the images in the same random order and under the same viewing conditions. The object detail with the lowest perceptible contrast was recorded for each observer and each image type. Modified PCs were plotted according to the mean observer data. Repeated-measures ANOVA was used to compare the PCs and the perceptible number of details in original and enhanced images for each exposure (P=0.05). The Bonferroni/Dunn test was used to identify statistical differences among the groups.
RESULTS: Histogram equalization showed the maximum number of perceptible details in both the lowest optimal exposure time and the widest exposure range (P<0.05). Significant differences were present in low and middle exposure ranges of images enhanced with various modalities (P<0.05), while no difference was obtained among the number of details for different enhancements in the high exposure range (P>0.05).
CONCLUSION: Histogram-equalization enhancement of Digora images demonstrated subjectively superior image quality, followed by contrast and brightness enhancement.

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Mesh:

Year:  2007        PMID: 18033946     DOI: 10.1259/dmfr/20897311

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  6 in total

1.  Comparison of psychophysical properties of two intraoral digital sensors on low-contrast perceptibility.

Authors:  X-Q Shi; D Benchimol; K Näsström
Journal:  Dentomaxillofac Radiol       Date:  2013-10-29       Impact factor: 2.419

2.  Evaluation of low-contrast perceptibility in dental restorative materials under the influence of ambient light conditions.

Authors:  A D Cruz; I C Lobo; A L B Lemos; M F Aguiar
Journal:  Dentomaxillofac Radiol       Date:  2015-01-28       Impact factor: 2.419

3.  Revisiting dynamic range and image enhancement ability of contemporary digital radiographic systems.

Authors:  Luiz Eduardo Marinho-Vieira; Luciano Augusto Cano Martins; Deborah Queiroz Freitas; Francisco Haiter-Neto; Matheus L Oliveira
Journal:  Dentomaxillofac Radiol       Date:  2021-12-14       Impact factor: 3.525

4.  A comparative study on image quality of two digital intraoral sensors.

Authors:  Cinar Aziman; Kristina Hellén-Halme; Xie-Qi Shi
Journal:  Dentomaxillofac Radiol       Date:  2019-05-14       Impact factor: 2.419

5.  Evaluation of a Mathematical Model for Digital Image Enhancement.

Authors:  Hassem Geha; Ibrahim Nasseh; Marcel Noujeim
Journal:  Open Dent J       Date:  2015-07-31

6.  Efficacy of denoising and enhancement filters for detection of approximal and occlusal caries on digital intraoral radiographs.

Authors:  Abbas Shokri; Shahin Kasraei; Sima Lari; Majid Mahmoodzadeh; Amin Khaleghi; Saeid Musavi; Vahid Akheshteh
Journal:  J Conserv Dent       Date:  2018 Mar-Apr
  6 in total

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