Internet-Based Distributed Quantitative 4D Analysis of Aortic MR/MDCT Images

基于互联网的主动脉 MR/MDCT 图像分布式定量 4D 分析

• 批准号: 8411633
• 负责人: XIANGMIN ZHANG
• 金额: $ 34.79万
• 依托单位: MEDICAL IMAGING APPLICATIONS, LLC
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8411633
• 关键词: Affect; Aorta; Aortic Aneurysm; Atherosclerosis; Basic Science; Businesses; Calculi; Centralized Hospital Services; Cessation of life; Clinical; Collaborations; Communication; Computer software; Connective Tissue Diseases; Data; Data Set; Data Sources; Diagnosis; Dimensions; Disease; Disease Progression; Dissection; Early Diagnosis; Effectiveness; Environment; Evaluation Reports; Event; Funding; Future; Health Insurance Portability and Accountability Act; Hybrids; Image; Image Analysis; Individual; Internet; Interobserver Variability; Iowa; Lead; Length; Life; Manuals; Medical Imaging; Methods; Metric; Monitor; Morphology; Operative Surgical Procedures; Pathology; Patient Care; Patients; Persons; Phase; Process; Regulation; Relative (related person); Research; Research Methodology; Respiratory Diaphragm; Risk; Security; Small Business Technology Transfer Research; Software Engineering; Specific qualifier value; System; Technology; Technology Transfer; Thoracic aorta; Time; Translating; United States National Institutes of Health; Universities; Validation; Work; aortic valve; base; clinical application; clinical decision-making; commercialization; comparison group; cost; design; disease classification; disease diagnosis; ergonomics; flexibility; indexing; novel; payment; performance tests; prototype; research study; tool

Aortic aneurysms and dissections are a cause of frequently preventable death for over 13,000 people annually in the US alone. Many more patients live under a constant threat of a catastrophic aortic event from atheroscle- rotic or congenital causes. Therefore, early and comprehensive diagnosis of morphological or dynamic changes in the aorta is of great importance. This STTR proposal extends and transfers the technology for quantitative assessment of 3D and 4D aortic image data from MR and MDCT, the results of recent NIH-funded research at the University of Iowa, to clinical applicability. No such analyses are currently commercially available for either assessment of connective tissue disorders using MR nor for MDCT-based assessment of atherosclerosis. The proposed project will allow Internet-enabled highly-automated quantitative 4D analysis of the entire aorta from MR/MDCT images for the entire aortic length between the aortic valve and the diaphragm. The following specific aims will be completed in Phase I: ¿ Aim 1: Demonstrate the technology transfer feasibility of University of Iowa's basic-research methods for aortic MR and MDCT segmentation and quantitative analysis in 3D and 4D. Build functional comp- onents and specify their interfaces, thus establishing the prerequisites for modularization in Phase II. ¿ Aim 2: Develop a 4D segmentation method for lumen and wall of the atherosclerotic thoracic aorta from MDCT by significantly extending our enabling technology, and demonstrate its feasibility. ¿ Aim 3: Develop novel indices for MR- and MDCT-based aorta assessment, and new metrics to quantify congenital-disease progression and the effectiveness of surgery or therapy. and in Phase II: ¿ Aim 4: Translate the Phase I methods for segmentation of the thoracic aorta from MR and MDCT and quantitative analysis in 3D and 4D to a modular distributed multi-platform processing environment. ¿ Aim 5: Develop a distributed prototype of a modular aortic image analysis system, adding communication, payment mechanisms, and security modules as the basis for commercialization. ¿ Aim 6: Validate and show the clinical utility of the prototype by (a) full 4D validation using 130 MR/MDCT datasets, (b) extensive testing of performance and ergonomics of the overall system in various deployment scenarios, and (c) design of a patient report and evaluation of its suitability for clinical decision making. As a result, a fully-functional prototype of a distributed Internet-based aortic quantitative image analysis system will be developed and ready for commercialization in the subsequent Phase III.

主动脉瘤和夹层是每年13，000多人经常可预防的死亡原因 仅在美国。更多的患者生活在动脉粥样硬化引起的灾难性主动脉事件的持续威胁下- 先天性或先天性原因。因此，早期和全面的诊断形态或动态 主动脉的变化非常重要。该STTR提案扩展并转让了 对来自MR和MDCT的3D和4D主动脉图像数据进行定量评估， 爱荷华州大学的研究，以临床适用性。目前商业上没有这样的分析。 可用于使用MR评估结缔组织疾病，也可用于基于MDCT的 动脉粥样硬化拟议的项目将允许互联网支持的高度自动化的定量4D分析， 主动脉瓣和横膈膜之间的整个主动脉长度的MR/MDCT图像中的整个主动脉。 第一阶段将完成以下具体目标： 目标1：展示爱荷华州大学基础研究方法的技术转让可行性 用于主动脉MR和MDCT分割和3D和4D定量分析。构建功能组件- 组件并指定其接口，从而为第二阶段的模块化建立先决条件。 目标2：开发动脉粥样硬化胸主动脉管腔和壁的4D分割方法， MDCT通过显着扩展我们的使能技术，并证明其可行性。 目标3：开发基于MR和MDCT的主动脉评估的新指标，以及量化的新指标 先天性疾病进展和手术或治疗的有效性。 在第二阶段： 目标4：转换用于从MR和MDCT分割胸主动脉的I期方法， 将3D和4D定量分析转化为模块化分布式多平台处理环境。 目标5：开发模块化主动脉图像分析系统的分布式原型， 通信、支付机制和安全模块作为商业化的基础。 目标6：通过（a）使用130 ° C的全4D验证， MR/MDCT数据集，（B）对整个系统的性能和人体工程学进行广泛测试， 各种部署场景，以及（c）设计患者报告并评估其适用性， 临床决策 因此，一个功能齐全的原型，分布式基于互联网的主动脉定量图像分析系统 将在随后的第三阶段开发并准备商业化。