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The Accuracy of an Estimating Method for the Mammary Gland Composition in the Mammography Using the CdTe-Series Photon Counting Detector

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Breast Imaging (IWDM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9699))

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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.

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References

  1. Highnam, R., Pan, X., Warren, R., et al.: Breast composition measurements using retrospective standard mammogram form (SMF). Phys. Med. Biol. 51, 2695–2713 (2006)

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  2. 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)

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Acknowledgments

The authors thank Dr. Hiroaki HAYASHI and Ms. Natsumi KIMOTO from Tokushima University for their assistance on calculating the average glandular dose.

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Correspondence to Ai Nakajima .

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© 2016 Springer International Publishing Switzerland

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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

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  • DOI: https://doi.org/10.1007/978-3-319-41546-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41545-1

  • Online ISBN: 978-3-319-41546-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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