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Development and clinical application of an integrated treatment planning platform for four-dimensional radiotherapy.

机译:二维放射治疗综合治疗计划平台的开发和临床应用。

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摘要

Four-dimensional (4D) treatment planning requires more man hours as compared to 3D treatment planning. The implementation of automated solutions that complete time consuming tasks is critical for the successful implementation of 4D treatment planning. Currently, a platform specially designed for clinical integration of 4D planning is not readily available. This dissertation presents an effort to develop an Automatic Post-processing Tool for 4D treatment planning (APT4D) that enables the user to perform the necessary procedures related to 4D treatment planning. The basic workflow of 4D planning involves automated image registration, automatic propagation of regions of interest, dose distribution transformation, and generation of deliverable 4D intensity pattern that can be executed by the user's treatment modality. The graphic user interface of APT4D was developed using Matlab 6.5. Both rigid and Demons-based deformable registrations are performed to map the moving phase images (such as the end-inhalation phase or 0% phase) to the fixed phase (typically the end-exhalation phase or 50% phase). The quality of image registration was evaluated slice by slice using an image similarity coefficient. Contours were automatically propagated into the moving phase using the image registration results. The match index was used to assess the quality of the contour propagation as compared to the manual contours. The dose distribution of each moving phase was transformed to the fixed phase and subsequently was summed as an average with equal weighting factor. To validate the application of APT4D utility, the 4D CT images of a thoracic cancer patient, an abdominal cancer patient and two kinds of dynamic thoracic phantom were acquired and resorted into ten respiratory phases. The 4D plans based on the 4D CT images were developed. The 4D plan was verified on the phantom plan: 4D delivery using the 0% phase and 50% phase plan with half of planned monitor units. The 3D conventional plan with radiation delivery in the absence of motion (50% phase plan with static beam-static target) and 3D conventional plan with small and large treatment margin in the presence of motion (50% phase plan with static beam-moving target) were compared to the 4D plan delivery respectively. The image correlation coefficient ranged from 0.992 to 0.999 for the resampled deformed moving phase image against the fixed phase image for the lung patient plan and from 0.977 to 0.999 for the abdominal patient plan. As for the phantom data, the image correlation coefficient was increased up to 1.0 after registration. The match indices between the manual contours and automatic contour propagation results ranged from 0.91 to 0.95 for all the tested organs and were up to 0.98 for the phantoms. Dosimetric reduction for cord was found for 4D planning compared to 3D planning. The 4D plan delivery agreed with the 4D planned dose within 3% in point dose measurements and did reproduce the measurements in the absence of target motion. In summary, the APT4D platform adds automation, efficiency, and functionality, while integrating the whole process of 4D treatment planning.
机译:与3D治疗计划相比,四维(4D)治疗计划需要更多的工时。完成费时的任务的自动化解决方案的实施对于成功实施4D治疗计划至关重要。当前,专门为4D规划的临床集成而设计的平台尚不可用。本文提出了一种努力,以开发用于4D治疗计划的自动后处理工具(APT4D),该工具使用户能够执行与4D治疗计划有关的必要程序。 4D规划的基本工作流程包括自动图像配准,感兴趣区域的自动传播,剂量分布转换以及可通过用户的治疗方式执行的可交付4D强度模式的生成。 APT4D的图形用户界面是使用Matlab 6.5开发的。进行基于刚性和基于恶魔的可变形配准,以将运动相图像(例如,吸气末期或0%相)映射到固定相(通常是呼气末期或50%相)。使用图像相似性系数逐层评估图像配准的质量。使用图像配准结果,轮廓自动传播到运动阶段。与手动轮廓相比,匹配指数用于评估轮廓传播的质量。将每个运动相的剂量分布转换为固定相,然后将其加总为相等权重因子的平均值。为了验证APT4D实用程序的应用,获取了一名胸癌患者,一名腹部癌患者和两种动态胸腔体模的4D CT图像,并将其分为十个呼吸阶段。根据4D CT图像制定了4D计划。 4D计划已在幻像计划上进行了验证:使用0%阶段和50%阶段计划以及一半计划的监视单元进行4D交付。在不运动的情况下进行放射线传输的3D常规计划(使用静态束静态目标的相位计划为50%)和在运动存在下的3D常规计划具有较小的治疗余量(使用静止的光束运动目标为50%相位计划) )分别与4D计划交付进行了比较。对于肺部患者计划,重新采样的变形运动相位图像相对于固定相位图像的图像相关系数范围为0.992至0.999,对于腹部患者计划,图像相关系数的范围为0.977至0.999。至于体模数据,配准后图像相关系数增加到1.0。对于所有测试的器官,手动轮廓和自动轮廓传播结果之间的匹配指数范围从0.91到0.95,对于人体模型,匹配指数最高为0.98。与3D计划相比,发现4D计划的绳索剂量减少。 4D计划交付在点剂量测量中与4D计划剂量一致,误差在3%以内,并且确实在没有目标运动的情况下重现了测量结果。总之,APT4D平台增加了自动化,效率和功能,同时集成了4D治疗计划的整个过程。

著录项

  • 作者

    Lin, Lan.;

  • 作者单位

    The University of Texas Health Science Center at San Antonio.;

  • 授予单位 The University of Texas Health Science Center at San Antonio.;
  • 学科 Health Sciences Radiology.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 150 p.
  • 总页数 150
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 预防医学、卫生学;
  • 关键词

  • 入库时间 2022-08-17 11:39:56

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