OBJECTIVE ASSESSMENT OF SUBJECTIVE RADIOGRAPHIC IMAGE QUALITY
DOI:
https://doi.org/10.24867/11BE13ZecKeywords:
objective assessment of noise, objective assessment of sharpness, objective assessment of contrast, medical imagingAbstract
Objective evaluation of radiographic image quality factors provides an opportunity for optimisation of image processing algorithms in order to meet the quality criteria of radiologists. Objective measures of noise, contrast and sharpness are proposed in this paper. The aim of the metrics is correspond to the scores given by radiologists as closely as possible.
References
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[2] P. Irrera, I. Bloch, M. Delplanque, “A flexible based approach for combined denoising and contrast enhancement of digital X-ray images”, Medical Image Analysis, Elsevier, vol. 28, pp. 33-45, 2016.
[3] P. Sprawls, “ Physical principles of medical imaging”, 2nd ed., Gaithersburg, Aspen Publishers, 1993.
[4] W. Birkfellner, “Applied Medical Image Processing”, 2nd ed., Boca Raton, FL, Taylor & Francis, 2014.
[5] W. Huda, R. B, Abrahams, “X-Ray-Based Medical Imaging and Resolution”, American Journal of Roentgenology, vol. 204, no. 4, pp. 393-397, 2015.
[6] T. N. Pappas, R. J. Safranek, “Perceptual criteria for image quality evaluation”, Handbook of Image and Video Processing, pp. 669-684, Academic Press, 2000.
[7] M. K. Mandal, “The Human Visual System and Perception”, Multimedia Signals and Systems, The Springer International Series in Engineering and Computer Science, vol. 716, pp. 33-56, Boston, MA, 2003.
[8] R. Schaetzing, “Agfa’s musica2 taking image processing to the next level”, AGFA Health Care, Tech. Rep., 2007.
[9] V. Ostojić, “Integrisana multiveličinska obrada radiografskih snimaka,” Doktorska disertacija, Fakultet tehničkih nauka, Univerzitet u Novom Sadu, Novi Sad, Srbija, 2018.
[10] Y. Dodge, “The Concise Encyclopedia of Statistics”, New York, Springer, 2008.
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Published
2020-12-25
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Section
Electrotechnical and Computer Engineering
