IMAGE BASED MANAGEMENT OF ATRIAL FIBRILLATION

基于图像的心房颤动管理

• 批准号: 8363715
• 负责人: Rob S. MacLeod
• 金额: $ 8.88万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8363715
• 关键词: Ablation; Aging; Algorithms; Atrial Fibrillation; Biomedical Computing; Catheters; Characteristics; Cicatrix; Clinical; Computer software; Disease; Edema; Evaluation; Fibrosis; Financial compensation; Funding; Goals; Grant; Heart; Heart Atrium; Image; Image Analysis; Imagery; Intervention; Magnetic Resonance Imaging; Maintenance; Manuals; Maps; Medical; Methods; Monitor; Motion; National Center for Research Resources; Patients; Population; Positioning Attribute; Principal Investigator; Procedures; Process; Publishing; Quality of life; Research; Research Infrastructure; Resources; Risk; Scheme; Screening procedure; Software Tools; Source; Staging; Stroke; Time; Tissues; United States National Institutes of Health; base; computerized tools; cost; design; experience; heart imaging; image processing; imaging Segmentation; innovation; mortality; respiratory; software development; success; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Background: Atrial fibrillation (AF) is an electrophysiological condition that increases the risk of stroke and mortality and diminishes the quality of life for aging populations. The best current method to evaluate the progression of AF and monitor the success of interventions is via an invasive intracardiac catheter-based electrical mapping procedure. Dr. Marrouche and the CARMA team have published recent findings indicating that the MRI image acquisition methods they have developed may provide a non-invasivie means to evaluate clinical characteristics of the tissue substrate that supports AF, as well as methods to detect changes in atrial tissue that result from ablation therapy. Rationale: The overarching technical goal of this DBP is to support the screening, management, treatment, and maintenance of people with atrial fibrillation with a range of computational tools. These tools will be useful for all stages of the disease and its treatment, will be simple and efficient to use, and will integrate all the tasks required for patient specific management into a single workflow. Questions: The entire basis for pre-ablation evaluation of fibrosis is based on segmentation and quantification of subtle features of delayed enhancement MRI, a process that will require innovative image processing and analysis to achieve. The CARMA team already makes daily use of Seg3D and drives many of the features that it contains. There is a pressing need for still more capabilities so that steps requiring considerable manual evaluation and specific medical experience can become at least semi-automated. Although Seg3D has streamlined the processing time, each case requires a file conversion, which introduces delays and increased chances of error. Design & Methods: The rationale and procedural goals of this DBP are as follows: (1) To develop software tools for the registration and segmentation of images from AF patients to be applied across all segments of the use of MRI in the management of AF patients; (2) To develop and validate algorithms and associated software for the quantitative analysis of pre-ablation fibrosis and post-ablation edema and scar; (3) To create compensation approaches for errors in position from heart and respiratory motion and their impact on MR images for use in real-time imaging of the heart during MRI guided ablation; and (4) To develop and evaluate integrated visualization schemes and software for use in real-time MRI guided AF ablation.

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 背景： 房颤是一种增加中风风险的电生理状态。 和死亡率，并降低老龄化人口的生活质量。最好的电流 评估房颤进展和监测介入治疗成功的方法是通过 一种基于心内导管的侵入性电子标测程序。Marrouche博士和 CARMA团队最近发表的研究结果表明，MRI图像采集 他们开发的方法可能提供一种非侵入性的手段来评估临床 支持房颤的组织底物的特征以及检测方法 消融治疗引起的心房组织的变化。 基本原理： DBP的总体技术目标是支持筛选、管理、 用一系列计算方法治疗和维持房颤患者 工具。这些工具将对疾病的所有阶段及其治疗都有用，将是 使用简单、高效，并将集成针对特定患者所需的所有任务 将管理整合到单个工作流中。 问题： 消融前评估纤维化的整个基础是基于分割和 量化延迟增强MRI的细微特征，这一过程将需要 创新的图像处理和分析实现。CARMA团队已经做出了 Seg3D的日常使用，并驱动它所包含的许多功能。有一项紧迫的任务 需要更多功能，以便需要大量手动评估和 特定的医疗体验至少可以变成半自动的。尽管Seg3D有 简化了处理时间，每个案件都需要进行文件转换，这就引入了 延误和错误的机会增加。 设计与方法： DBP的基本原理和程序目标如下：(1)开发软件工具 对于来自房颤患者的图像的配准和分割应用于所有 MRI在房颤患者治疗中的应用片段；(2)开发和 验证用于消融前定量分析的算法和相关软件 纤维化和消融后的水肿和疤痕；(3)创造补偿方法 心脏和呼吸运动引起的位置误差及其影响因素 磁共振引导消融对心脏实时成像的影响 以及(4)开发和评估综合可视化方案和软件 实时MRI引导下房颤消融。