論文

査読有り
2016年7月

Pin-photodiode array for the measurement of fan-beam energy and air kerma distributions of X-ray CT scanners

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
  • Tomonobu Haba
  • ,
  • Shuji Koyama
  • ,
  • Takahiko Aoyama
  • ,
  • Yutaka Kinomura
  • ,
  • Yoshihiro Ida
  • ,
  • Masanao Kobayashi
  • ,
  • Hiroshi Kameyama
  • ,
  • Yoshinori Tsutsumi

32
7
開始ページ
905
終了ページ
913
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.ejmp.2016.06.010
出版者・発行元
ELSEVIER SCI LTD

Purpose: Patient dose estimation in X-ray computed tomography (CT) is generally performed by Monte Carlo simulation of photon interactions within anthropomorphic or cylindrical phantoms. An accurate Monte Carlo simulation requires an understanding of the effects of the bow-tie filter equipped in a CT scanner, i.e. the change of X-ray energy and air kerma along the fan-beam arc of the CT scanner. To measure the effective energy and air kerma distributions, we devised a pin-photodiode array utilizing eight channels of X-ray sensors arranged at regular intervals along the fan-beam arc of the CT scanner.
Methods: Each X-ray sensor consisted of two plate type of pin silicon photodiodes in tandem - front and rear photodiodes - and of a lead collimator, which only allowed X-rays to impinge vertically to the silicon surface of the photodiodes. The effective energy of the X-rays was calculated from the ratio of the output voltages of the photodiodes and the dose was calculated from the output voltage of the front photodiode using the energy and dose calibration curves respectively.
Results: The pin-photodiode array allowed the calculation of X-ray effective energies and relative doses, at eight points simultaneously along the fan-beam arc of a CT scanner during a single rotation of the scanner.
Conclusions: The fan-beam energy and air kerma distributions of CT scanners can be effectively measured using this pin-photodiode array. (C) 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.ejmp.2016.06.010
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/27371973
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000381588500007&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.ejmp.2016.06.010
  • ISSN : 1120-1797
  • eISSN : 1724-191X
  • PubMed ID : 27371973
  • Web of Science ID : WOS:000381588500007

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