期刊
JOURNAL OF ENVIRONMENTAL RADIOACTIVITY
卷 138, 期 -, 页码 50-59出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jenvrad.2014.08.001
关键词
Radiation dosimetry; Monte Carlo; Iodine-131; Rainbow trout
资金
- CDC/NIOSH Mountain AMP
- Plains Educational and Research Center (NIOSH) [T42 OH009229-06]
This study develops and compares different, increasingly detailed anatomical phantoms for rainbow trout (Oncorhynchus mykiss) for the purpose of estimating organ absorbed radiation dose and dose rates from I-131 uptake in multiple organs. The models considered are: a simplistic geometry considering a single organ, a more specific geometry employing additional organs with anatomically relevant size and location, and voxel reconstruction of internal anatomy obtained from CT imaging (referred to as CSUTROUT). Dose Conversion Factors (DCFs) for whole body as well as selected organs of O. mykiss were computed using Monte Carlo modeling, and combined with estimated activity concentrations, to approximate dose rates and ultimately determine cumulative radiation dose (mu Gy) to selected organs after several half-lives of I-131. The different computational models provided similar results, especially for source organs (less than 30% difference between estimated doses), and whole body DCFs for each model (similar to 3 x 10(-3) mu Gy d(-1) per Bq kg(-1)) were comparable to DCFs listed in ICRP 108 for I-131. The main benefit provided by the computational models developed here is the ability to accurately determine organ dose. A conservative mass-ratio approach may provide reasonable results for sufficiently large organs, but is only applicable to individual source organs. Although CSUTROUT is the more anatomically realistic phantom, it required much more resource dedication to develop and is less flexible than the stylized phantom for similar results. There may be instances where a detailed phantom such as CSUTROUT is appropriate, but generally the stylized phantom appears to be the best choice for an ideal balance between accuracy and resource requirements. (C) 2014 Elsevier Ltd. All rights reserved.
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