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.

该副本是利用资源的众多研究子项目之一 由NIH/NCRR资助的中心赠款提供。对该子弹的主要支持 而且，副投影的主要研究员可能是其他来源提供的 包括其他NIH来源。 列出的总费用可能 代表subproject使用的中心基础架构的估计量， NCRR赠款不直接向子弹或副本人员提供的直接资金。 背景： 心房颤动（AF）是一种电生理状况，可增加中风的风险 死亡率并降低人口衰老的生活质量。最好的电流 评估AF进展并监控干预措施成功的方法是通过 基于侵入性的基于心脏内导管的电图程序。 Marrouche博士和 Carma团队发表了最近的发现，表明MRI图像获取 他们开发的方法可能会提供评估临床的非宇宙手段 支持AF的组织底物的特征，以及检测的方法 由消融疗法导致的心房组织的变化。 理由： 该DBP的总体技术目标是支持筛选，管理， 治疗和维护具有一系列计算的房颤的人 工具。这些工具对于疾病的所有阶段及其治疗都将是有用的 简单而有效地使用，并将整合患者特定所需的所有任务 管理进入一个工作流程。 问题： 纤维化预开放评估的全部基础是基于分割和 量化延迟增强MRI的微妙特征，这一过程需要 创新的图像处理和分析要实现。卡尔马队已经做出了 日常使用SEG3D并驱动其中包含的许多功能。有一个紧迫的 需要更多的功能，以便需要大量的手动评估步骤 具体的医疗经验至少可以成为半自动化。虽然seg3d有 简化了处理时间，每种情况都需要文件转换，引入了 延迟和错误的机会。 设计与方法： 该DBP的理由和程序目标如下：（1）开发软件工具 为了注册和分割来自AF患者的图像 在AF患者管理中使用MRI的段； （2）发展和 验证算法和相关软件，用于定量分析。 纤维化和燃烧后水肿和疤痕； （3）创建赔偿方法 心脏和呼吸道运动的位置错误及其 在MRI指导消融过程中，对MR图像的影响用于实时成像。 （4）开发和评估集成的可视化方案和软件用于 实时MRI指导AF消融。