Image Guided Tracking of Tumor Motion for Conformal Radiation Therapy

用于适形放射治疗的肿瘤运动的图像引导跟踪

• 批准号: 0928630
• 负责人: Puneet Singla
• 金额: $ 29.97万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0928630&HistoricalAwards=false
• 关键词: Image; Guided; Tracking; Tumor; Motion

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The main research objective of this award is the development of a framework for accurate estimation of tumor target dynamics which enables safe and effective ?Adaptive Conformal Radiation Therapy? for cancer treatment. Two specific aims of this research are 1) construction of models correlating body surface motion to the motion of the tumor and 2) development of algorithms for state uncertainty characterization and propagation for timely acquisition of tumor motion data. The research approach progresses from the development of a simple rigid body point mass representation of the tumor, followed by a finite dimensional rigid body model and concluding with a model which accounts for the flexible modes of the tumor dynamics. In close collaboration with our project members from Roswell Park Cancer Institute (RPCI), comprehensive experiments will be performed in a clinical scenario to validate the developed framework. Deliverables include a suite of tumor motion models validated via lab experiments, algorithms for characterizing and propagating state uncertainty in tumor motion models, documentation of research results and undergraduate and graduate student education.If successful, this research has the potential to significantly improve the effectiveness of the conventional radiation therapy. This research will facilitate rational design of even more potent radiation treatment while minimizing: 1) exposure of healthy tissues to toxic radiations, 2) exposure to X-ray imaging doses and most importantly, 3) probability of relapse of tumor. This award facilitates collaboration between researchers in engineering and biomedical sciences. Through this kind of collaboration between two fields, expansion of the fundamental knowledge in both fields is expected. The goals of the broader impact portion of this award will be met in part by incorporating various aspects of the research program into educational activities as well.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。该奖项的主要研究目标是开发一个框架，用于准确估计肿瘤靶点动态，从而实现安全有效的？适形放射治疗用于癌症治疗。本研究的两个具体目标是：1）构建体表运动与肿瘤运动相关的模型; 2）开发用于状态不确定性表征和传播的算法，以及时采集肿瘤运动数据。研究方法的进展，从一个简单的刚体点质量表示的肿瘤，其次是一个有限维刚体模型的发展，并与肿瘤动力学的灵活模式占一个模型的结论。我们将与罗斯威尔公园癌症研究所（RPCI）的项目成员密切合作，在临床场景中进行全面的实验，以验证开发的框架。这些成果包括一套通过实验室实验验证的肿瘤运动模型、表征和传播肿瘤运动模型中状态不确定性的算法、研究结果文档以及本科生和研究生教育。如果成功，这项研究有可能显著提高传统放射治疗的有效性。这项研究将有助于合理设计更有效的放射治疗，同时最大限度地减少：1）健康组织暴露于有毒辐射，2）暴露于X射线成像剂量，最重要的是，3）肿瘤复发的可能性。该奖项促进了工程和生物医学科学研究人员之间的合作。通过两个领域之间的这种合作，预计将扩大两个领域的基础知识。 该奖项的更广泛影响部分的目标将通过将研究计划的各个方面纳入教育活动中来实现。