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Proceedings Paper

Determination of 3D scattered radiation distributions from the Zubal Phantom as a function of LAO/RAO and CRA/CAU gantry angulation
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Paper Abstract

The purpose of this study is to investigate how the scattered radiation distribution in the interventional procedure room varies with changes in cranial / caudal (CRA/CAU) and right anterior oblique / left anterior oblique (RAO/LAO) gantry angulation of a C-Arm fluoroscopic system to aid in staff dose management. The primary x-ray beam of a Toshiba Infinix fluoroscopy machine was modeled using EGSnrc (DOSXYZnrc) Monte Carlo code and the scattered radiation distributions were calculated using 5 x 109 photons incident on the Zubal computational phantom. The Zubal phantom is derived from a CT scan of an average adult male and is anthropomorphic with internal organs. The results show that substantial changes in the scatter dose are possible for the interventionalist next to the table with Cranial/Caudal and RAO/LAO angle variations. For frontal projections the largest change with CRA/CAU angle occurs below the table height, increasing by 50% at the position of the interventionalist next to the table for a 30 degree cranial angulation compared to a caudal angulation for a beam directed toward the abdomen. The scattered radiation distribution also is shown to change with different body regions such as the chest and abdomen. A library of 3D scatter dose-rate distributions is being developed to be implemented in a scatter display system for increased staff awareness of dose levels during procedures.

Paper Details

Date Published: 1 March 2019
PDF: 11 pages
Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 109485I (1 March 2019); doi: 10.1117/12.2512984
Show Author Affiliations
Chao Guo, Univ. at Buffalo (United States)
Jonathan Troville, Univ. at Buffalo (United States)
Stephen Rudin, Univ. at Buffalo (United States)
Daniel R. Bednarek, Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 10948:
Medical Imaging 2019: Physics of Medical Imaging
Taly Gilat Schmidt; Guang-Hong Chen; Hilde Bosmans, Editor(s)

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