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9 March 2017Response functions of multi-pixel-type CdTe detector: toward development of precise material identification on diagnostic x-ray images by means of photon counting
Currently, an X-ray imaging system which can produced information used to identify various materials has been
developed based on photon counting. It is important to estimate the response function of the detector in order to
accomplish highly accurate material identification. Our aim is to simulate the response function of a CdTe detector using
Monte-Carlo simulation; at this time, the transportation of incident and scattered photons and secondary produced
electrons were precisely simulated without taking into consideration the charge spread in the collecting process of the
produced charges (charge sharing effect). First, we set pixel sizes of 50-500μm, the minimum irradiation fields which
produce equilibrium conditions were determined. Then, observed peaks in the response function were analyzed with
consideration paid to the interactions between incident X-rays and the detector components, Cd and Te. The secondary
produced characteristic X-rays play an important role. Accordingly ratios of full energy peak (FEP), scattering X-rays
and penetrating X-rays in the calculated response functions were analyzed. When the pixel size of 200μm was used the
scattered X-rays were saturated at equilibrium with relatively small fields and efficiency of FEP was kept at a high value
(<50%). Finally, we demonstrated the X-ray spectrum which is folded by the response function. Even if the charge
sharing effect is not completely corrected when using the electric circuit, there is a possibility that disturbed portions in
the measured X-ray spectra can be corrected by using proper calibration, in which the above considerations are taken
into account.
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Hiroaki Hayashi, Takashi Asahara, Natsumi Kimoto, Yuki Kanazawa, Tsutomu Yamakawa, Shuichiro Yamamoto, Masashi Yamasaki, Masahiro Okada, "Response functions of multi-pixel-type CdTe detector: toward development of precise material identification on diagnostic x-ray images by means of photon counting," Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013236 (9 March 2017); https://doi.org/10.1117/12.2251185