Paper
18 March 2015 Exposure dose reduction for the high energy spectrum in the photon counting mammography: simulation study based on Japanese breast glandularity and thickness
Naoko Niwa, Misaki Yamazaki, Yoshie Kodera, Mika Yamamuro, Kanako Yamada, Yoshiyuki Asai, Koji Yamada
Author Affiliations +
Abstract
Recently, digital mammography with a photon counting silicon detector has been developed. With the aim of reducing the exposure dose, we have proposed a new mammography system that uses a cadmium telluride series photon counting detector. In addition, we also propose to use a high energy X-ray spectrum with a tungsten anode. The purpose of this study was assessed that the effectiveness of the high X-ray energy spectrum in terms of image quality using a Monte Carlo simulation. The proposed photon counting system with the high energy X-ray is compared to a conventional flat panel detector system with a Mo/Rh spectrum. The contrast-to-noise ratio (CNR) is calculated from simulation images with the use of breast phantoms. The breast model phantoms differed by glandularity and thickness, which were determined from Japanese clinical mammograms. We found that the CNR values were higher in the proposed system than in the conventional system. The number of photons incident on the detector was larger in the proposed system, so that the noise values was lower in comparison with the conventional system. Therefore, the high energy spectrum yielded the same CNR as using the conventional spectrum while allowing a considerable dose reduction to the breast.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Naoko Niwa, Misaki Yamazaki, Yoshie Kodera, Mika Yamamuro, Kanako Yamada, Yoshiyuki Asai, and Koji Yamada "Exposure dose reduction for the high energy spectrum in the photon counting mammography: simulation study based on Japanese breast glandularity and thickness", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94124B (18 March 2015); https://doi.org/10.1117/12.2081173
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KEYWORDS
Breast

Monte Carlo methods

Mammography

Sensors

Photon counting

X-rays

Tungsten

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