...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Physics in medicine and biology. >CTC-ask: a new algorithm for conversion of CT numbers to tissue parameters for Monte Carlo dose calculations applying DICOM RS knowledge.
【24h】

CTC-ask: a new algorithm for conversion of CT numbers to tissue parameters for Monte Carlo dose calculations applying DICOM RS knowledge.

机译：CTC-ASK：一种用于将CT编号转换为组织参数的新算法，用于应用DICOM RS知识的蒙特卡罗剂量计算。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

One of the building blocks in Monte Carlo (MC) treatment planning is to convert patient CT data to MC compatible phantoms, consisting of density and media matrices. The resulting dose distribution is highly influenced by the accuracy of the conversion. Two major contributing factors are precise conversion of CT number to density and proper differentiation between air and lung. Existing tools do not address this issue specifically. Moreover, their density conversion may depend on the number of media used. Differentiation between air and lung is an important task in MC treatment planning and misassignment may lead to local dose errors on the order of 10%. A novel algorithm, CTC-ask, is presented in this study. It enables locally confined constraints for the media assignment and is independent of the number of media used for the conversion of CT number to density. MC compatible phantoms were generated for two clinical cases using a CT-conversion scheme implemented in both CTC-ask and the DICOM-RT toolbox. Full MC dose calculation was subsequently conducted and the resulting dose distributions were compared. The DICOM-RT toolbox inaccurately assigned lung in 9.9% and 12.2% of the voxels located outside of the lungs for the two cases studied, respectively. This was completely avoided by CTC-ask. CTC-ask is able to reduce anatomically irrational media assignment. The CTC-ask source code can be made available upon request to the authors.
机译：Monte Carlo（MC）治疗计划中的一个构建块是将患者CT数据转换为MC兼容的幻像，包括密度和介质矩阵。得到的剂量分布受转化的准确性的高度影响。两个主要贡献因素是CT号的精确转化为密度和空气和肺之间的适当分化。现有工具没有具体解决此问题。此外，它们的密度转换可能取决于所用介质的数量。 Air和Lung之间的差异是MC治疗计划中的重要任务，误诊可能导致局部剂量误差10％。本研究提出了一种新颖的算法CTC询问。它使媒体分配的本地受限约束能够独立于用于将CT号码转换为密度的介质数。使用CTC-ASK和DICOM-RT工具箱中实施的CT转换方案，为两个临床病例产生了MC兼容的幽灵。随后进行全MC剂量计算，比较所得剂量分布。 DICOM-RT工具箱分别在肺部外部的9.9％和12.2％的血管素分别在研究的两种情况下分别不准确地分配肺。这是通过CTC询问完全避免的。 CTC-ASK能够减少解剖学上的媒体分配。 CTC-ASK源代码可以根据提交给作者提供。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 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