A Tumor Tracking System for Image Guided Radiotherapy
用于图像引导放射治疗的肿瘤跟踪系统
基本信息
- 批准号:6985219
- 负责人:
- 金额:$ 26.07万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-08-01 至 2007-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): Respiration induced organ motion during radiotherapy treatment delivery limits the capability for dose escalation and/or normal tissue sparing. The goal of this application is to improve the clinical outcome of radiotherapy for thoracic and abdominal tumors where respiratory motion is often an issue, by improving the precision of tumor localization during the treatment. This goal can be reached through the development of a well-engineered real-time tumor tracking system based an on-board x-ray imaging system that is currently being built by Massachusetts General Hospital (MGH) and Varian Medical Systems, Inc. (VMS).
In the proposed project, through an expanded collaboration between MGH and VMS, we plan to develop a software framework and key function algorithms for the tracking system. The software framework will be developed by VMS by incorporating MGH's clinical perspectives, based on the framework of RPM Respiratory Gating System, a commercial product from VMS. Algorithms for the key functional blocks will be developed and tested mainly by MGH with technical assistance from VMS, using the software framework and the hardware platform as a test bed. he software framework and modules will be validated on the hardware platform using a computer-controlled dynamic phantom.
The software system, combined with the hardware platform, will facilitate real-time tumor tracking with high precision and robustness. The system will be used for clinical trials to treat mobile tumors at MGH and can potentially be commercialized by VMS. The proposed project will greatly strengthen the relationship between MGH and VMS, leading to enhanced collaborative research activities as well as future research projects in the area of image guided radiotherapy.
描述(由申请人提供):在放射治疗期间呼吸引起的器官运动限制了剂量递增和/或正常组织保留的能力。这一应用的目的是通过提高治疗过程中肿瘤定位的精确度,改善胸部和腹部肿瘤的放射治疗的临床结果,这些肿瘤的呼吸运动经常是一个问题。这一目标可以通过开发一种基于机载X射线成像系统的精心设计的实时肿瘤跟踪系统来实现,该系统目前正由马萨诸塞州综合医院(MGH)和瓦里安医疗系统公司(VMS)建造。
在拟议的项目中,通过扩大MGH和VMS之间的合作,我们计划为跟踪系统开发一个软件框架和关键功能算法。该软件框架将由VMS结合MGH的临床观点,基于VMS的商业产品RPM呼吸门控系统的框架开发。关键功能块的算法将主要由MGH在VMS的技术帮助下开发和测试,使用软件框架和硬件平台作为试验台。软件框架和模块将在硬件平台上使用计算机控制的动态体模进行验证。
软件系统与硬件平台相结合,实现了高精度、高稳健性的实时肿瘤跟踪。该系统将用于在MGH治疗移动性肿瘤的临床试验,并有可能被VMS商业化。拟议的项目将极大地加强MGH和VMS之间的关系,从而加强合作研究活动以及图像引导放射治疗领域的未来研究项目。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Steve Bin Jiang其他文献
Steve Bin Jiang的其他文献
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{{ truncateString('Steve Bin Jiang', 18)}}的其他基金
Artificial Intelligence-Based Quality Assurance for Online Adaptive Radiotherapy
基于人工智能的在线自适应放射治疗质量保证
- 批准号:
10589063 - 财政年份:2022
- 资助金额:
$ 26.07万 - 项目类别:
Artificial Intelligence-Based Quality Assurance for Online Adaptive Radiotherapy
基于人工智能的在线自适应放射治疗质量保证
- 批准号:
10445135 - 财政年份:2022
- 资助金额:
$ 26.07万 - 项目类别:
A GPU-cloud based Monte Carlo simulation platform for National Particle Therapy Research Center
国家粒子治疗研究中心基于GPU云的蒙特卡罗模拟平台
- 批准号:
8811782 - 财政年份:2015
- 资助金额:
$ 26.07万 - 项目类别:
Determination of Research Needs and Specifications of The Research Beam Line and Related Infrastructure
确定研究需求和研究光束线及相关基础设施的规格
- 批准号:
8811781 - 财政年份:2015
- 资助金额:
$ 26.07万 - 项目类别:
Low dose cone beam CT for image guided adaptive radiotherapy
用于图像引导适应性放射治疗的低剂量锥形束 CT
- 批准号:
8619515 - 财政年份:2011
- 资助金额:
$ 26.07万 - 项目类别:
Low dose cone beam CT for image guided adaptive radiotherapy
用于图像引导适应性放射治疗的低剂量锥形束 CT
- 批准号:
8264781 - 财政年份:2011
- 资助金额:
$ 26.07万 - 项目类别:
Low dose cone beam CT for image guided adaptive radiotherapy
用于图像引导适应性放射治疗的低剂量锥形束 CT
- 批准号:
8026135 - 财政年份:2011
- 资助金额:
$ 26.07万 - 项目类别:
Low dose cone beam CT for image guided adaptive radiotherapy
用于图像引导适应性放射治疗的低剂量锥形束 CT
- 批准号:
8444698 - 财政年份:2011
- 资助金额:
$ 26.07万 - 项目类别:
A Tumor Tracking System for Image Guided Radiotherapy
用于图像引导放射治疗的肿瘤跟踪系统
- 批准号:
7140120 - 财政年份:2005
- 资助金额:
$ 26.07万 - 项目类别:
A Tumor Tracking System for Image Guided Radiotherapy
用于图像引导放射治疗的肿瘤跟踪系统
- 批准号:
7555283 - 财政年份:2005
- 资助金额:
$ 26.07万 - 项目类别:














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