首页> 外文会议>Nuclear Science, Technology and Engineering Conference >Determination of CT Number and Density Profile of Binderless, Pre-treated and Tannin-based Rhizophora spp. Particleboards Using Computed Tomography Imaging and Electron Density Phantom
【24h】

Determination of CT Number and Density Profile of Binderless, Pre-treated and Tannin-based Rhizophora spp. Particleboards Using Computed Tomography Imaging and Electron Density Phantom

机译:粘合剂,预处理和单宁根酚SPP的CT数和密度分布的测定。使用计算机断层扫描成像和电子密度幻像的刨花板

获取原文

摘要

Plug density phantoms were constructed in accordance to CT density phantom model 062M CIRS using binderless, pre-treated and tannin-based Rhizophora Spp. particleboards. The Rhizophora Spp. plug phantoms were scanned along with the CT density phantom using Siemens Somatom Definition AS CT scanner at three CT energies of 80, 120 and 140 kVp. 15 slices of images with 1.0 mm thickness each were taken from the central axis of CT density phantom for CT number and CT density profile analysis. The values were compared to water substitute plug phantom from the CT density phantom. The tannin-based Rhizophora Spp. gave the nearest value of CT number to water substitute at 80 and 120 kVp CT energies with χ~2 value of 0.011 and 0.014 respectively while the binderless Rhizphora Spp. gave the nearest CT number to water substitute at 140 kVp CT energy with χ~2 value of 0.023. The tannin-based Rhizophora Spp. gave the nearest CT density profile to water substitute at all CT energies. This study indicated the suitability of Rhizophora Spp. particleboard as phantom material for the use in CT imaging studies.
机译:根据CT密度模型062M CIRS,使用粘合剂,预处理和基于单宁的根噻唑SPP构建塞密度模型。刨花板。 rhizophora spp。使用Siemens SOMATOM定义作为CT扫描仪在80,120和140 kVP的三个CT能量下扫描CT密度幻像以及CT密度模拟堵塞。 15切片的图像厚度为1.0毫米,从CT密度幻像的中心轴上取出CT号和CT密度分析分析。将这些值与来自CT密度模拟的水替代塞体幻影进行比较。基于单宁的根瘤菌SPP。将最接近的CT号值与80克的替代品为80%和120 kVP CT能量,分别在粘合剂rhizphora SPP的同时分别为0.011和0.014。将最接近的CT号码以140 kVP CT能量的替代品替换为χ〜2值0.023。基于单宁的根瘤菌SPP。在所有CT能量上给出了最近的CT密度曲线到水替代品。本研究表明了rhizophora spp的适用性。刨花板作为CT成像研究中使用的幻像材料。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号