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Proceedings Paper

A proposed new image display method with high contrast-to-noise ratio using energy resolved photon-counting mammography with a CdTe series detector
Author(s): R. Suzuki; A. Nakajima; M. Sasaki; Y. Kodera; Y. Iida; F. Ito; Y. Koshiba; T. Yamakawa; S. Yamamoto; M. Okada; D. Hashimoto; S. Koyama
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Paper Abstract

In this study, we propose a new image display method to obtain high contrast-to-noise ratio (CNR) using energy resolved photon-counting mammography (ERPCM) with a cadmium telluride (CdTe) series detector manufactured by JOB CORPOLATION. The CdTe series detector can detect high-energy photons with high sensitivity, enabling users to image with high-energy X-rays. Using this detector, it is possible to reduce the dose given to a patient while increasing the CNR. First, the spectrum was divided into three bins and their corresponding linear attenuation coefficients were calculated from input and output photon numbers. Further, absorption vector length (AVL) and average absorption length (AAL) were calculated from the linear attenuation coefficients and from thicknesses of objects after beam-hardening correction. We further compared the CNR between ERPCM and general mammography images under the constant average glandular dose (AGD). We imaged an acrylic plate (1 mm thick) on RMI-156 phantom, determined regions of interest (ROIs) on an acrylic plate and background, and calculated the CNR. Our ERPCM generated two types of images: an AVL image and an AAL image. AMULET Innovality manufactured by FUJIFILM generated an integrated image. MicroDose SI manufactured by Philips generated a count image and removed electrical noise by the photon-counting technique. The four images, in order of decreasing CNR, were the AAL image, AVL image, MicroDose image, and AMULET image. The proposed method using ERPCM generated an image with higher CNR than images using general mammography under the constant AGD.

Paper Details

Date Published: 9 March 2018
PDF: 6 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105735K (9 March 2018); doi: 10.1117/12.2292871
Show Author Affiliations
R. Suzuki, Nagoya Univ. Graduate School of Medicine (Japan)
A. Nakajima, Nagoya Univ. Graduate School of Medicine (Japan)
M. Sasaki, Nagoya Univ. Graduate School of Medicine (Japan)
Y. Kodera, Nagoya Univ. Graduate School of Medicine (Japan)
Y. Iida, Nagoya Univ. Hospital (Japan)
F. Ito, Nagoya Univ. Hospital (Japan)
Y. Koshiba, Nagoya Univ. Hospital (Japan)
T. Yamakawa, JOB Corp. (Japan)
S. Yamamoto, JOB Corp. (Japan)
M. Okada, JOB Corp. (Japan)
D. Hashimoto, JOB Corp. (Japan)
S. Koyama, Nagoya Univ. Graduate School of Medicine (Japan)


Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)

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