INTERACTIVE AND AUTOMATED CONFORMAL PLAN OPTIMIZATION

交互式和自动化的保形计划优化

• 批准号: 6102921
• 负责人: DANIEL L MC SHAN
• 金额: --
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-02-01 至 1999-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6102921
• 关键词: artificial intelligence; bioengineering /biomedical engineering; biomedical automation; clinical biomedical equipment; computer assisted patient care; computer graphics /printing; computer program /software; computer simulation; computer system design /evaluation; digital imaging; human data; human therapy evaluation; mathematical model; method development; neoplasm /cancer radiation therapy; particle beam; patient care planning; phantom model; radiation dosage

The Overall Objective of Project 1 is to investigate both interactive and autonomous (computer optimization) techniques for designing conformational radiation therapy treatment plans based on the new computer-controlled radiotherapy (CCRT) treatment technology. To improve interactive design, we will investigate the use of higher level beam objects like arcs, cones, and curved paths that can be delivered dynamically (or approximated with a series of "segmental" beams). We will also investigate the use of graphical volumetric analysis techniques to aid in the placement of beams. To further improve planned dose distributions, we propose to integrate these techniques with automated optimization based on the simulated annealing algorithm combined with the use of realistic dose response scoring functions. We will investigate techniques for improving the rate of convergence of using adaptive or "self-regulating" cooling schedules and by incorporating techniques from deterministic optimization algorithms. To create and demonstrate that optimal plans can be clinically realized, this project will rely on the other projects to provide data on calculational and delivery accuracy and constraints (Project 2), on geometrical accuracies (Project 3) and on dose response data (Project 4). In turn, these other projects will benefit from the identification of the most critical factors affecting the optimization of conformal treatments. An overall assessment of the potential improvements possible as well as the relative value of the various plan optimization techniques will be analyzed through a series of comparative planning studies (using clinical cases which are being treated on the conformal therapy protocols in Project 4). Comparisons will be made between the results of conventional planning and the results achievable with the new conformal planning techniques developed in this project.

项目1的总体目标是研究互动和 用于设计的自主（计算机优化）技术 基于新的 计算机控制放射疗法（CCRT）治疗技术。 改进 交互式设计，我们将研究更高级别光束的使用 可以传递的弧，锥和弯曲路径等物体 动态（或用一系列“分段”梁近似）。 我们 还将研究图形体积分析技术的使用 帮助放置梁。 进一步改善计划的剂量 分布，我们建议将这些技术与自动 基于模拟退火算法的优化与 使用现实剂量响应评分功能。 我们将调查 提高使用自适应或 “自我调节”冷却时间表，并通过合并 确定性优化算法。 创建并证明 最佳计划可以在临床上实现，该项目将依靠 提供有关计算和交付精度的数据以及 约束（项目2），几何精确度（项目3）和on 剂量响应数据（项目4）。 反过来，这些其他项目将 从识别影响的最关键因素的识别中受益 保形治疗的优化。 对 潜在的改进以及相对值 各种计划优化技术将通过一系列分析 比较计划研究（使用正在的临床病例 在项目4中的共形治疗方案中进行治疗）。 比较 将在传统计划的结果与结果之间进行 可以通过在此开发的新的保形计划技术来实现 项目。