Abstract
In this chapter we explain how a digital mammographic image is generated and we develop a mathematical model of the entire imaging process and explain how we calibrate it and generate the h int representation. Our modelling is centred on conventional systems, but could be adapted to directly digital systems. Our aim in this chapter is to show that with sufficient calibration we can generate an estimate of h int at each pixel as long as we have an estimate of scattered and extra-focal radiation; Chapters 3 and 4 explain how we attain those.
Keywords
- Tube Voltage
- Modulation Transfer Function
- Film Density
- Automatic Exposure Control
- Linear Attenuation Coefficient
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1999 Springer Science+Business Media Dordrecht
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Highnam, R., Brady, M. (1999). A Model of Mammogram Image Formation. In: Mammographic Image Analysis. Computational Imaging and Vision, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4613-5_2
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DOI: https://doi.org/10.1007/978-94-011-4613-5_2
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-5949-7
Online ISBN: 978-94-011-4613-5
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