Comparison of the quality of the result of digitising panoramic analogue films using transmission and reflection scanner mode with direct digital imaging standard
Abstract
Introduction: The use of panoramic x-ray radiographs with analogue film negatives is still widely used. Contrast differences in the radiograph are determined by the level of light transmitted from the viewer to the film negative and visual perception of the radiologist, which can cause differences and errors of interpretation. This study was aimed to compare the quality of scanners produced by the transmission and reflection modes objectively with direct digital imaging standard. Methods: This study used a descriptive comparative design with purposive sampling method. Radiographic analysis was conducted towards 30 analogue radiographs of Radiology laboratory of Universitas Padjadjaran Dental Hospital. Digitisation was performed using a scanner with setting modes (reflection and transmission, 8-bit intensity resolution and spatial resolution of 800 dpi). Digitising the negative radiographs of analogue films into digital radiographs will get a range of percentage pixels. Histogram of radiographs with a percentage of pixels in the grey level range 0 - 64 exceeds 50%, including "under-exposed", in the grey level range 192 - 255 exceeding 50%, including "over-exposed". The evaluation was carried out to observe the radiograph exposure homogeneity by dividing the radiograph into 4 parts. Each part was calculated as the mean pixel value; then the standard deviation was searched for the four mean values (STDMI - standard deviation mean intensity) determined the homogeneity. Results: Digitising type of radiograph reflection was included under-exposed because the percentage of pixels in the grey level range 0 - 64 was 86.94%. STDMI consecutive reflection = 8.03, transmission = 18.05, direct digital imaging = 20.86. Conclusion: Digitisation with scanner transmission mode is the best result objectively because it approaches the quality value of direct digital imaging standard.
Keywords: Objective quality, homogeneity, reflection, transmission
Keywords
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White SC, Pharoah MJ. Oral radiology: Principles and interpretation. 7th ed. St. Louis: Mosby-Elsevier; 2014. p. 7.
Rios-Santos JV, Ridao-Sacie C, Bullon P, Fernandez-Palacin A, Segura-Egea JJ. Assessment of Periapical Status: A Comparative Study Using Film-Based Periapical Radiographs and Digital Panoramic Images. Med Oral Patol Oral Cir Bucal. 2010; 15(6): e952-6. DOI: 10.4317/medoral.15.e952
Lin WC, Wang JW, Lin SY. Contrast Enhancement of X-ray Image Based on Singular Value Selection. Opt Eng. 2010; 49(4): 047005. DOI: 10.1117/1.3378111
Morimoto Y, Tanaka T, Yamamoto N, Kodama M, Seta Y, Habu M, et al. New Trends and Advances in Oral and Maxillofacial Imaging. Current Med Imag Rev. 2009; 5(4): 226-37. DOI: 10.2174/157340509790112790
Young IT, Gerbrands JJ, Van Vliet LJ. Fundamentals of Image Processing. 2nd ed. Delft: Delft University of Technology; 2012. p. 7.
Garg R, Mittal B, Garg S. Histogram Equalization Techniques For Image Enhancement. Int J Electro Comm Tech. 2011; 2(1): 107-11.
Salem Saleh Al-amri, N.V. Kalyankar, S.D. Khamitkar, Linear and Non-Linear Contrast Enhancement Image, IJCSNS International Journal of Computer Science and Network Security. 2010;10(2):
Wang, Xin;Wong, Brian Stephen;Chen, Guan Tui, Spotting Defects More Clearly: Radiographic Image Enhancement, Industrial Heating.2011;1 : 145-54
Papakosta TK, Savva AD, Economopoulos TL, Matsopoulos GK, Gröhndal HG. An automatic panoramic image reconstruction scheme from dental computed tomography images. Dentomaxillofac Radiol. 46 (2017) 1-14.
De Oliveira MV, Wenzel A, Campos PS, Spin-Neto R. Quality assurance phantoms for cone beam computed tomography: a systematic literature review. Dentomaxillofac Radiol. 46 ;(2017) :52-60.
Singh, Sukhjinder, R.K. Bansal, Savina Bansal, Comparative Study and Implementation of Image Processing Techniques Using MATLAB, International Journal of Advanced Research in Computer Science and Software Engineering. 2012;2(3):125-31
Yousif Mohamed Yousif Abdallah, Arwa Ahamed Almoustafa, Gehan Elhadi, Mamdouh Mohammed, Osman Khalafallah, Tayseer Khalid, Application of analysis approach in Noise Estimation in Panoramic X-rays images using image processing program (MatLab), Canadian Journal on Medicine. 2011;2(3)
Pearson K. Contributions to the Mathematical Theory of Evolution. Phil Transact Royal Soc London. 1894; 185: 71-110.
DOI: https://doi.org/10.24198/pjd.vol31no2.21155
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