Software Engineering, Treatment Planning, and QA

软件工程、治疗计划和质量保证

• 批准号: 7806515
• 负责人: JEFFREY F WILLIAMSON
• 金额: $ 51.09万
• 依托单位: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-16 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7806515
• 关键词: Address; Algorithms; Benchmarking; Brachytherapy; Classification; Clinical; Clinical Trials; Code; Complex; Complication; Computer software; Conduct Clinical Trials; Coupled; Data; Data Analyses; Data Set; Databases; Development; Development Plans; Documentation; Dose; Effectiveness; Ensure; Environment; Evaluation; Four-dimensional; Functional Imaging; Goals; Human; Image; Institution; Intensity-Modulated Radiotherapy; Intervention; Investigation; Language; Libraries; Manuals; Mechanics; Medical; Methodology; Methods; Modality; Monitor; Normal tissue morphology; Pathway interactions; Patients; Principal Investigator; Probability; Procedures; Process; Production; Productivity; Protocols documentation; Radiation Oncology; Radiation therapy; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Sampling; Scheme; Software Engineering; Software Tools; Source; Source Code; Standardization; Statistical Models; Structure; System; Techniques; Testing; Time; Translations; Treatment Protocols; Universities; Validation; Variant; Virginia; Vision; Work; base; clinical application; data management; density; design; experience; graphical user interface; image processing; image registration; imaging modality; improved; information gathering; meetings; novel; programs; quality assurance; simulation; software development; statistics; tool; treatment duration; treatment planning; treatment site; tumor; verification and validation; virtual

The overall goal of Core A is to develop a unique and enhanced software engineering, IMRT planning and quality assurance infrastructure, that addresses the unique data management needs, error pathways, and logistical constraints posed by image guided adaptive radiation therapy (IGART). IGART confronts radiation oncology with new and unfamiliar demands: a high volume of imaging data drawn from many different modalities, new clinical tools such as deformable image registration which must perform reliably in a real- time automated mode, the need for real-time IMRT planning codes that deliver optimal plans with little or no intervention, and integration of complex software tools and functions drawn from the other projects and cores into an integrated structure. These functions include the comprehensive management and manipulation of multiple imaging data sets from diverse imaging modalities, IGART IMRT planning incorporating probabilistic models, maintaining a plan database, and acquiring statistics derived from the quantitative plan evaluation tools such as equivalent uniform dose (EUD), normal tissue complication probability (NTCP), tumor control probability (TCP), and biologically equivalent dose (BED) to accommodate variations in fraction size and to allow summation of brachytherapy and external beam dose distributions. Core A will provide the following functions to meet the overall goals of this PPG of which develops, investigates, optimizes, and implements a system to study the potential clinical advantages of IGART via coupled virtual clinical trials (VCTs) and clinical trials (ACTs). Core Function 1 will develop a novel layered software engineering and data management infrastructure, based upon a shared set of user-program data structures, common tools, and simulation scripting languages, that isolates software developers from the mechanics of storing and retrieving data and converting imaging studies from a variety of native formats to a common format for performing virtual clinical trials (VCTs) conducted by Projects 1-4. Core Function 2 will interface new tools as they are developed in Projects 1-4 into the software infrastructure, which will form the VCD IGART system. Core Function 3 will generate automated IMRT re-optimizations and treatment plans, and data analysis utilizing the VCU IGART system. Core Function 4 will focus on developing a comprehensive set of QA tools and techniques to facilitate the safe and efficient clinical implementation of IGART.

核心A的总体目标是开发独特而增强的软件工程，IMRT计划和 质量保证基础架构，可满足独特的数据管理需求，错误途径和 图像引导的自适应辐射疗法（IGART）构成的后勤约束。 Igart面对辐射 具有新的和陌生需求的肿瘤学：大量的成像数据来自许多不同的 模式，新的临床工具，例如可变形图像注册，必须在实地中可靠地执行 时间自动化模式，需要实时的IMRT计划代码，这些代码几乎没有或没有提供最佳计划 干预和整合复杂的软件工具和功能，这些工具和功能是从其他项目和核心中汲取的 进入集成结构。这些功能包括对 来自不同成像方式的多个成像数据集，Igart IMRT计划包含概率 模型，维护计划数据库，并获取从定量计划评估中得出的统计数据 等效均匀剂量（EUD），正常组织并发症概率（NTCP），肿瘤控制等工具 概率（TCP）和生物学上等效的剂量（BED），以适应分数大小的变化 允许近距离放射治疗和外束剂量分布的求和。核心A将提供以下 实现该PPG的整体目标的功能，该目标发展，调查，优化和实施A 通过耦合虚拟临床试验（VCT）和 临床试验（使徒行传）。核心功能1将开发新型的分层软件工程和数据 管理基础架构，基于共享的一组用户程序数据结构，通用工具和 模拟脚本语言，将软件开发人员与存储机制隔离 检索数据并将成像研究从多种天然格式转换为通用格式 执行项目1-4进行的虚拟临床试验（VCT）。核心功能2将接口新工具 当它们在项目1-4中开发到软件基础架构中，这将构成VCD IGART 系统。核心功能3将产生自动化的IMRT重新挑选和治疗计划以及数据 利用VCU IGART系统的分析。核心功能4将着重于开发一组全面 QA工具和技术促进IGART安全有效的临床实施。