3-D dose distributions for optimum radiation treatment planning of complex foods

被引:32
作者
Kim, J. [1 ]
Moreira, R. G. [1 ]
Huang, Y. [1 ]
Castell-Perez, M. E. [1 ]
机构
[1] Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA
关键词
electron beam; dosimetry; Monte Carlo; tomography;
D O I
10.1016/j.jfoodeng.2006.01.061
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
To obtain satisfactory e-beam irradiation of fresh products a strict process control is required to ensure that the dose delivered to all parts of the treated product falls within some specified range. As a basis of a dosimetry technique, assessment of the exact geometry of fresh products in a 3-D configuration is needed. Obtaining a uniform dose in inherently complex foods such as a chicken carcass is, however, difficult. The objective of this study was to obtain detailed, high-resolution dose distributions of a chicken carcass exposed to e-beam or X-ray irradiation using Monte Carlo simulation and Computer Tomography (CT) techniques. We obtained multi-sliced CT data of a frozen chicken carcass to extract exact product geometry and densities using image-processing methods. The type of source energy input spectrum and source size were entered into the Monte Carlo N-Particle radiation transport code (MNCP5) to obtain dose distributions in the product. For low energy treatment (1.35 MeV electrons, Van de Graaff accelerator), dose absorption occurred up to 5-7 mm deep, resulting in surface irradiation of the carcass. For high energy treatment (10 MeV, LINAC, bottom only), the doses within the carcass rose up to 1.2 times the incident dose with increasing depth and rapidly fell to low values. Two-sided (top and bottom) irradiation resulted in a dose uniformity ratio (D-max/D-min) of about 1.6. Two-sided X-ray irradiation significantly improved the uniformity ratio from 2.5 to 1.8. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:312 / 321
页数:10
相关论文
共 8 条
[1]   MONTE-CARLO TECHNIQUES IN MEDICAL RADIATION PHYSICS [J].
ANDREO, P .
PHYSICS IN MEDICINE AND BIOLOGY, 1991, 36 (07) :861-920
[2]  
[Anonymous], 2000, MCNP GEN MONTE CARLO, DOI DOI 10.1016/J.CCLET.2011.04.015
[3]   Monte Carlo simulation and dose distribution of low energy electron irradiation of an apple [J].
Brescia, G ;
Moreira, R ;
Braby, L ;
Castell-Perez, E .
JOURNAL OF FOOD ENGINEERING, 2003, 60 (01) :31-39
[4]  
BROWN FB, 2003, MCNP GEN MONTE CARL
[5]   CT-based Monte Carlo simulation tool for dosimetry planning and analysis [J].
DeMarco, JJ ;
Solberg, TD ;
Smathers, JB .
MEDICAL PHYSICS, 1998, 25 (01) :1-11
[6]  
Kim J, 2006, J FOOD ENG, V74, P359, DOI 10.1016/j.jfoodeng.2005.03.008
[7]   Food irradiation - US regulatory considerations [J].
Morehouse, KM .
RADIATION PHYSICS AND CHEMISTRY, 2002, 63 (3-6) :281-284
[8]   Absorbed fractions in a voxel-based phantom calculated with the MCNP-4B code [J].
Yoriyaz, H ;
dos Santos, A ;
Stabin, MG ;
Cabezas, R .
MEDICAL PHYSICS, 2000, 27 (07) :1555-1562