Abstract
We propose a method for estimating mammary gland composition and report the examined results to find the better conditions to improve the precision of the estimation. We use a cadmium telluride series (CdTe-series) detector as a photon-counting mammography detector in this study, since CdTe-series detectors detect photons in a wide energy range and provide highly accurate energy discrimination. An imaging system using a CdTe-series detector is simulated by MATLAB. We divide the spectrum of an X-ray, which is transmitted a phantom, into three energy bins and calculate the corresponding linear attenuation coefficients from the numbers of input and output photons. These linear attenuation coefficients are plotted in a three-dimensional (3D) scatter plot. Using this 3D scatter plot, we estimate the mammary gland composition and determine the optimal conditions to estimate.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Highnam, R., Pan, X., Warren, R., et al.: Breast composition measurements using retrospective standard mammogram form (SMF). Phys. Med. Biol. 51, 2695–2713 (2006)
Iwanczyk, J.S., Nygård, E., Meirav, O., et al.: Photon counting energy dispersive detector arrays for X-ray imaging. IEEE Trans. Nucl. Sci. 56, 535–542 (2009)
Acknowledgments
The authors thank Dr. Hiroaki HAYASHI and Ms. Natsumi KIMOTO from Tokushima University for their assistance on calculating the average glandular dose.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Nakajima, A. et al. (2016). The Accuracy of an Estimating Method for the Mammary Gland Composition in the Mammography Using the CdTe-Series Photon Counting Detector. In: Tingberg, A., LÃ¥ng, K., Timberg, P. (eds) Breast Imaging. IWDM 2016. Lecture Notes in Computer Science(), vol 9699. Springer, Cham. https://doi.org/10.1007/978-3-319-41546-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-41546-8_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-41545-1
Online ISBN: 978-3-319-41546-8
eBook Packages: Computer ScienceComputer Science (R0)