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的总体目标是开发一个独特的增强型软件工程，IMRT计划和 质量保证基础设施，解决独特的数据管理需求，错误路径， 图像引导自适应放射治疗（IGART）带来的后勤限制。IGART对抗辐射 肿瘤学与新的和不熟悉的要求：大量的成像数据来自许多不同的 新的临床工具，如变形图像配准，必须在真实的环境中可靠地执行， 时间自动化模式，需要实时IMRT计划代码，提供最佳计划， 干预，以及从其他项目和核心中提取的复杂软件工具和功能的集成 整合成一个整体。这些职能包括全面管理和操纵 来自不同成像模式的多个成像数据集，IGART IMRT计划结合概率 模型，维护计划数据库，以及获取从定量计划评估导出的统计数据 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）和生物等效剂量（BED），以适应分数大小的变化， 允许近距离放射治疗和外部射束剂量分布的总和。核心A将提供以下内容 职能，以满足本PPG的总体目标，其中开发，调查，优化和实施 通过耦合虚拟临床试验（VCT）研究IGART潜在临床优势的系统， 临床试验（ACT）。核心功能1将开发一个新的分层软件工程和数据 管理基础设施，基于一组共享的用户程序数据结构、通用工具和 模拟脚本语言，将软件开发人员从存储和 检索数据并将成像研究从各种原生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将连接新工具 因为它们在项目1-4中被开发成软件基础设施，这将形成VCD IGART 系统核心功能3将生成自动IMRT重新优化和治疗计划以及数据 使用VCU IGART系统进行分析。核心职能4将侧重于制定一套全面的 QA工具和技术，以促进IGART的安全和有效的临床实施。