基于DICOM的多平台放射治疗数据可视化与对比分析
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摘要
目的:开发一个独立的系统RTViewer对不同商用治疗计划系统的放射治疗数据进行相互验证和对比分析。方法:以放射治疗的质量控制与质量保证为重点,在深入解析DICOM-RT标准的基础上,通过研究主流TPS厂商的底层数据格式,设计DICOM格式放射治疗数据导入、可视化、分析、导出接口,开发RTViewer系统,以实现对不同TPS的放射治疗数据相互验证和对比分析,从而确保放射治疗计划实施的质量。结果:经临床病例验证,RTViewer系统可准确地解析和可视化Eclipse、XIO、Monaco、Pinnacle及Raystation等主流商用TPS获取的DICOM-RT文件。结论:通过对DICOM-RT标准的深入解析,开发的RTViewer实现了对DICOM格式文件的精确解析与可视化,可对比分析不同TPS的放射治疗数据,用于远程肿瘤放射治疗质量控制,对放射治疗计划的质量保证具有重要意义。
Objective To develop an independent system, RTViewer, for the mutual verification and comparative analysis of the radiotherapy data from different commercial treatment planning systems(TPS). Methods The quality control and quality assurance of radiotherapy were the emphases in this study. Based on the in-depth analysis of DICOM-RT standard, the underlying data formats of mainstream TPS vendors were analyzed, thereby designing an interface for the import, visualization, analysis and export of the radiotherapy data in DICOM format. Finally, RTViewer system was developed to enable the mutual verification and comparative analysis of radiotherapy data from different TPS, so as to ensure the quality of radiotherapy program implementation.Results The verification with clinical cases showed that RTViewer system accurately parsed and visualized DICOM-RT files from mainstream commercial TPS, such as Eclipse, XIO, Monaco, Pinnacle and Raystation. Conclusion Through the in-depth analysis of DICOM-RT standard, the developed RTViewer realizes the accurate parsing and visualization of DICOM format files,and achieves the comparative analysis of the radiotherapy data from different TPS. The developed RTViewer can be used for the quality control of remote tumor radiotherapy, having great significance for the quality assurance of radiotherapy plan.
Objective To develop an independent system, RTViewer, for the mutual verification and comparative analysis of the radiotherapy data from different commercial treatment planning systems(TPS). Methods The quality control and quality assurance of radiotherapy were the emphases in this study. Based on the in-depth analysis of DICOM-RT standard, the underlying data formats of mainstream TPS vendors were analyzed, thereby designing an interface for the import, visualization, analysis and export of the radiotherapy data in DICOM format. Finally, RTViewer system was developed to enable the mutual verification and comparative analysis of radiotherapy data from different TPS, so as to ensure the quality of radiotherapy program implementation.Results The verification with clinical cases showed that RTViewer system accurately parsed and visualized DICOM-RT files from mainstream commercial TPS, such as Eclipse, XIO, Monaco, Pinnacle and Raystation. Conclusion Through the in-depth analysis of DICOM-RT standard, the developed RTViewer realizes the accurate parsing and visualization of DICOM format files,and achieves the comparative analysis of the radiotherapy data from different TPS. The developed RTViewer can be used for the quality control of remote tumor radiotherapy, having great significance for the quality assurance of radiotherapy plan.
引文
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[16]LAW M,LIU B.DICOM-RT and its utilization in radiation therapy[J].Radiographics,2009,11(2):655-667.
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[18]MIN B J,NAM H,JEONG I S,et al.A simple DVH generation technique for various radiotherapy treatment planning systems for an independent information system[J].J Korean Phys Soc,2015,67(1):254-259.
[19]OINAM A S,LAKHWANT S,ARVIND S,et al.Dose volume histogram analysis and comparison of different radiobiological models using in-house developed software[J].J Med Phys,2011,36(4):220-229.
[20]KATARIA T,SHARMA K,SUBRAMANI V,et al.Homogeneity index:an objective tool for assessment of conformal radiation treatments[J].J Med Phys,2011,37(4):207-213.
[21]YOON M,PARK S Y,SHIN D,et al.A new homogeneity index based on statistical analysis of the dose-volume histogram[J].J Appl Clin Med Phys,2007,8(2):9-17.
[22]NELMS B,STAMBAUGH C,HUNT D,et al.Methods,software and datasets to verify DVH calculations against analytical values:twenty years late(r)[J].Med Phys,2015,42(8):4435-4448.
[23]AYYANGAR K M,LI A Y,PILLAI S,et al.Dose volume histogram comparison between ADAC Pinnacle and Nomos Corvus system for IMRT[J].Australas Phys Eng Sci Med,2005,28(1):1-7.
[2]IMRTCWG.Intensity-modulated radiation therapy:current status and issues of interest[J].Int J Radiat Oncol Biol Phys,2001,51(4):880-914.
[3]SPEZI E,LEWIS D G,SMITH C W.A DICOM-RT-based toolbox for the evalution and verification of radiotherapy plans[J].Phys Med Biol,2002,47(23):4223-4232.
[4]JERAJ R,KEALL P J,SIEBERS J V.The effect of dose calculation accuracy on inverse treatment planning[J].Phys Med Biol,2002,47(3):391-407.
[5]李小波,邓小武,徐本华,等.组织不均匀条件对调强计划系统计算模型精度的影响[J].中华放射医学与防护杂志,2015,35(8):628-631.LI X B,DENG X W,XU B H,et al.Effect of inhomogeneity on accuracy of various IMRT dose calculation models[J].Chinese Journal of Radiological Medicine and Protection,2015,35(8):628-631.
[6]PRABHAKAR R,RATH G K,HARESH K P,et al.A study on the tumor volume computation between different 3D treatment planning systems in radiotherapy[J].J Cancer Res Ther,2011,7(2):168-173.
[7]AYYALASOMAYAJULA A K,AYYANGAR K,VUPPU S,et al.Evaluation of Eclipse 3D plans using an independent treatment planning system[J].Int J Cancer Ther Oncol,2017,5(1):5125-5135.
[8]NELSON C L,MASON B E,ROBINSON R C,et al.Commissioning results of an automated treatment planning verification system[J].JAppl Clin Med Phys,2014,15(5):57-65.
[9]PARK S,MCNUTT T,PLISHKER W,et al.Technical Note:scuda:a software platform for cumulative dose assessment[J].Med Phys,2016,43(10):5339-5346.
[10]汪冬.质子调强放射治疗中计划优化关键技术研究[D].合肥:中国科学技术大学,2016.WANG D.Key issues of optimization in intensity modulated proton therapy[D].Hefei:University of Science and Technology of China,2016.
[11]武军胜,杨红远,谌洪初.医用TPS中放射线剂量分布的三维可视化方法[J].计算机应用,2010,39(3):582-584.WU J S,YANG H Y,CHEN H C.3D visualization method of radiotherapy dose distribution in medical TPS[J].Journal of Computer Applications 2010,39(3):582-584.
[12]王玉.三维放射治疗计划系统仿真建模研究与实现[D].沈阳:东北大学,2013.WANG Y.Study on simulation modeling and application of 3Dradiation therapy planning system[D].Shenyang:Northeastern University,2013.
[13]PIANYKH O S.Digital imaging and communications in medicine(DICOM):a practical introduction and survival guide[M].Springer Science&Business Media,2009.
[14]DOWLING J,GREER P B,SAVADO O.Importing contours from DICOM-RT structure sets[J].Or Insighet,2009,7:1-10.
[15]HOLLAND L,OILIVER L,GORTHI S.Exporting contours to DICOM-RT structure sets[J].Or Insighet,2009,1:1-18.
[16]LAW M,LIU B.DICOM-RT and its utilization in radiation therapy[J].Radiographics,2009,11(2):655-667.
[17]EBERT M A,HAWORTH A,KEARVELL R,et al.Comparison of DVH data from multiple radiotherapy treatment planning systems[J].Phys Med Biol,2010,55(11):N337-N346.
[18]MIN B J,NAM H,JEONG I S,et al.A simple DVH generation technique for various radiotherapy treatment planning systems for an independent information system[J].J Korean Phys Soc,2015,67(1):254-259.
[19]OINAM A S,LAKHWANT S,ARVIND S,et al.Dose volume histogram analysis and comparison of different radiobiological models using in-house developed software[J].J Med Phys,2011,36(4):220-229.
[20]KATARIA T,SHARMA K,SUBRAMANI V,et al.Homogeneity index:an objective tool for assessment of conformal radiation treatments[J].J Med Phys,2011,37(4):207-213.
[21]YOON M,PARK S Y,SHIN D,et al.A new homogeneity index based on statistical analysis of the dose-volume histogram[J].J Appl Clin Med Phys,2007,8(2):9-17.
[22]NELMS B,STAMBAUGH C,HUNT D,et al.Methods,software and datasets to verify DVH calculations against analytical values:twenty years late(r)[J].Med Phys,2015,42(8):4435-4448.
[23]AYYANGAR K M,LI A Y,PILLAI S,et al.Dose volume histogram comparison between ADAC Pinnacle and Nomos Corvus system for IMRT[J].Australas Phys Eng Sci Med,2005,28(1):1-7.