Accelerated x-ray therapy planning system PEREGRINE

加速 X 射线治疗计划系统 PEREGRINE

• 批准号: 6787955
• 负责人: PAUL S NIZIN
• 金额: $ 10万
• 依托单位: NOMOS CORPORATION
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-08 至 2006-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6787955
• 关键词: artificial intelligence; bioengineering /biomedical engineering; computed axial tomography; computer assisted medical decision making; computer assisted patient care; computer program /software; computer simulation; computer system design /evaluation; electromagnetic radiation; mathematics; patient care planning; radiation dosage; radiation therapy; technology /technique development

DESCRIPTION (provided by applicant): Computerized radiation therapy planning systems (RTP) are essential in Radiation Oncology for quantitative evaluation of radiation doses prior to patient treatment. Among currently available computational methods, the Monte Carlo method of calculating dose distributionsis most universal and accurate. It is believed that Monte Carlo software packages will become a central part of future RTP systems. The limiting problem with current Monte Carlo codes is the length of time (CPU time) required for calculations even when using state-of-the-art hardware. An increase in efficiency of Monte Carlo codes has been demonstrated using algorithms known as variance-reduction techniques (VR techniques), but the calculation times are still too long for routine clinical use. While there is no single VR technique that would make Monte Carlo code clinically viable, a combination of such techniques usually results in improved performance. At present, the only commercial RTP system using Monte Carlo code for photon dose calculations is PEREGRINE from Lawrence Livermore National Laboratory and NOMOS Corporation. PEREGRINE uses several VR techniques. However, it is estimated that a further reduction in CPU time by a factor of 10 would be required to have a clinically efficient system. Our theoretical study and subsequent Monte Carlo results support a new variance-reduction technique (NVR) for photon-beam dose calculations. It is shown that NVR yields up to a 5-fold reduction in CPU time. The long-term objective of the project is to reduce PEREGRIN's CPU time from currently several hours to several; minutes. This will require a combination of NVR with other VR techniques. Within this scope, the specific aims of Phase I are: 1. Development, implementation and validation of a PEREGRINE-specific NVR algorithm. 2. Benchmarking of NVR over the range of clinically useful energies in homogeneous and heterogeneous phantoms. 3. Validation of NVR in the case of patient-specific Monte Carlo calculations using CT based patient anatomy.

描述（由申请人提供）：计算机化放射治疗计划系统（RTP）在放射肿瘤学中对患者治疗前的放射剂量进行定量评估是必不可少的。在目前可用的计算方法中，计算剂量分布的蒙特卡罗方法是最普遍和最准确的。相信蒙特卡罗软件包将成为未来RTP系统的核心部分。当前蒙特卡罗代码的限制问题是计算所需的时间长度（CPU时间），即使使用最先进的硬件。使用方差减少技术（VR技术）的算法可以提高蒙特卡罗代码的效率，但是计算时间对于常规临床使用来说仍然太长。虽然没有单一的VR技术可以使蒙特卡罗代码在临床上可行，但这些技术的组合通常会提高性能。目前，唯一使用蒙特卡罗代码进行光子剂量计算的商用RTP系统是劳伦斯利弗莫尔国家实验室和NOMOS公司的PEREGRINE。PEREGRINE使用了几种VR技术。然而，据估计，进一步减少CPU时间的10倍将需要有一个临床有效的系统。