Abstract
Once in a digital form, a radiographic image may be processed in several ways in order to turn the visualization an act of improved diagnostic value. Practitioners should be aware that, depending on each clinical context, digital image processing techniques are available to help to unveil visual information that is, in fact, carried by the bare digital radiograph and may be otherwise neglected. The range of visual enhancement procedures includes simple techniques that deal with the usual brightness and contrast manipulation up to much more elaborate multi-scale processing that provides customized control over the emphasis given to the relevant finer anatomical details.
This chapter is intended to give the reader a practical understanding of image enhancement techniques that might be helpful to improve the visual quality of the digital radiographs and thus to contribute to a more reliable and assertive reporting.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kevles BH. Naked to the bone, medical imaging in the twentieth century. New Brunswick, NJ: Rutgers University Press; 1997.
Gonzalez R, Woods R. Digital image processing. 3rd ed. Upper Saddle River, NJ: Prentice-Hall; 2008.
Braunstein EM, Capek P, Buckwalter K, Bland P, Meyer CR. Adaptive histogram equalization in digital radiography of destructive skeletal lesions. Radiology. 1988;166(3):883–5.
Pizer SM, Amburn EP, Austin JD, Cromartie R, Geselowitz A, Greer T, ter Haar Romeny B, Zimmerman JB, Zuiderveld K. Adaptive histogram equalization and its variations. Comput Vis Graph Image Process. 1987;39(3):355–68.
Reza AM. Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for real-time image enhancement. J VLSI Signal Process Syst. 2004;38(1):35–44.
Prokop M, Neitzel U, Schaefer-Prokop C. Principles of image processing in digital chest radiography. J Thorac Imaging. 2003;18(3):148–64.
Prokop M, Schaefer-Prokop CM. Digital image processing. Eur Radiol. 1997;7:S73–82.
Serra J. Image analysis and mathematical morphology. Waltham, MA: Academic; 1983.
Vuylsteke P, Schoeters EP. Multiscale image contrast amplification (MUSICA). Newport Beach, CA: SPIE; 1994.
Dippel S, Stahl M, Wiemker R, Blaffert T. Multiscale contrast enhancement for radiographies: Laplacian pyramid versus fast wavelet transform. IEEE Transmed Imaging. 2002;21(4):343–53.
Burt P, Adelson E. The Laplacian pyramid as a compact image code. IEEE Transmed Imaging. 1983;31(4):532–40.
Vuylsteke P, Schoeters EP. Image processing in computed radiography. In: Computer tomography for industrial applications and image processing in radiology. Berlin: DGZfP Proceedings BB 67-CD; 1999:87–101.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Lança, L., Silva, A. (2013). Image Enhancement for Digital Radiography. In: Digital Imaging Systems for Plain Radiography. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5067-2_8
Download citation
DOI: https://doi.org/10.1007/978-1-4614-5067-2_8
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-5066-5
Online ISBN: 978-1-4614-5067-2
eBook Packages: MedicineMedicine (R0)