Rayleigh imaging in spectral mammography

Karl Berggren; Mats Danielsson; Erik Fredenberg

doi:10.1117/12.2217048

22 March 2016 Rayleigh imaging in spectral mammography

Karl Berggren, Mats Danielsson, Erik Fredenberg

Proceedings Volume 9783, Medical Imaging 2016: Physics of Medical Imaging; 97830A (2016) https://doi.org/10.1117/12.2217048
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Spectral imaging is the acquisition of multiple images of an object at different energy spectra. In mammography, dual-energy imaging (spectral imaging with two energy levels) has been investigated for several applications, in particular material decomposition, which allows for quantitative analysis of breast composition and quantitative contrast-enhanced imaging. Material decomposition with dual-energy imaging is based on the assumption that there are two dominant photon interaction effects that determine linear attenuation: the photoelectric effect and Compton scattering. This assumption limits the number of basis materials, i.e. the number of materials that are possible to differentiate between, to two. However, Rayleigh scattering may account for more than 10% of the linear attenuation in the mammography energy range. In this work, we show that a modified version of a scanning multi-slit spectral photon-counting mammography system is able to acquire three images at different spectra and can be used for triple-energy imaging. We further show that triple-energy imaging in combination with the efficient scatter rejection of the system enables measurement of Rayleigh scattering, which adds an additional energy dependency to the linear attenuation and enables material decomposition with three basis materials. Three available basis materials have the potential to improve virtually all applications of spectral imaging.

Citation Download Citation

Karl Berggren, Mats Danielsson, and Erik Fredenberg "Rayleigh imaging in spectral mammography", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97830A (22 March 2016); https://doi.org/10.1117/12.2217048

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