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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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批量导出:通过Eclipse处理计划系统进行精选数据提取的自动化框架.

Ryan Truong1, Lance C Moore1, Casey Bojechko1

  • 1Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.

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概括

我们开发了一个开源应用程序,可以从Eclipse治疗计划系统 (TPS) 快速导出患者数据. 这个工具简化了机器学习应用程序的数据检索,大大提高了手工方法的效率.

关键词:
自动化自动化自动化自动化辐射治疗疗法 辐射治疗疗法治疗计划 治疗计划

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科学领域:

  • 医学物理 医学物理
  • 辐射疗法 辐射疗法
  • 机器学习 机器学习

背景情况:

  • 深度学习模型需要大量的数据集来完成放射治疗任务,例如剂量预测.
  • 目前从Eclipse TPS出口DICOM-RT数据是低效的,对于大数据集来说是不可扩展的.
  • 有效的数据检索对于推进下游研究应用至关重要.

研究的目的:

  • 为了简化和提高从Eclipse TPS中检索患者数据的效率.
  • 开发一个精简的应用程序,用于处理计划,图像和结构集的并行出口.
  • 克服手动数据出口的局限性,用于大规模研究.

主要方法:

  • 使用Prism库开发了一个带有GUI的C#.NET应用程序.
  • 集成的EvilDICOM可与Eclipse患者数据库无连接.
  • 应用程序数据出口时间与基于DICOM文件体积的手动出口方法进行了比较.

主要成果:

  • 与手动方法相比,该应用程序显著减少了出口时间,特别是在多个患者的情况下.
  • 导出20名患者的数据 (~3000个DICOM文件) 需要10.22分钟的应用程序,而手动需要22.93分钟.
  • 该应用程序在超过17000个DICOM文件中展示了线性时间性能和可扩展性.

结论:

  • 创建了一个开源应用程序,用于从Eclipse TPS.快速和可扩展的患者数据采集.
  • 该工具有效地解决了与大量手动DICOM文件导出相关的挑战.
  • 这有助于机器学习模型培训和其他需要大量患者数据的研究.