On-Line 3D Vasculature from Biplane Angiograms

双平面血管造影的在线 3D 脉管系统

• 批准号: 6740171
• 负责人: KENNETH R HOFFMANN
• 金额: $ 33.87万
• 依托单位: STATE UNIVERSITY OF NEW YORK AT BUFFALO
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-02-01 至 2007-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6740171
• 关键词: angiography; bioimaging /biomedical imaging; clinical research; computer assisted diagnosis; diagnosis design /evaluation; human subject; image enhancement; image guided surgery /therapy; patient oriented research; rapid diagnosis; swine; three dimensional imaging /topography

DESCRIPTION (provided by applicant): The goal of the proposed research is to develop automated methods for accurate and reliable quantitative vascular measurements (vessel diameters, cross sections, and distances) in clinical settings. The developed technology will not only provide the cardiologist with immediate quantitative information as well as the means for longitudinal patient assessment, but may also be the basis for more extensive and cross-modality patient evaluations. Under the previously funded research, we developed a system for accurate and reproducible determination of 3D vascular tree centerlines from biplane image pairs within 5 minutes of initiation of analysis. In this continuation proposal, we will not only improve the centerline accuracy, but we will also develop new techniques (a) for fully automatic centerline determination, (b) for lumen reconstruction using breakthroughs developed in our lab, and (c) for alignment and comparison with IVUS data with speeds sufficient to provide clinically critical information during interventions. The studies will extend beyond evaluations of the accuracy and reliability of the measured quantities to include evaluations of impact of these data on clinical decisions during catheterization procedures in pig models and in patients. With the increasing complexity of cardiovascular interventions and the need for accurate characterization of the vessel lumen in clinical studies for cross modafity and longitudinal comparisons, we see this research as one of the critical next steps in vascular analysis. As a result, we are convinced that the proposed research will result in more accurate and more comprehensive vascular data, safer angiographic studies, better longitudinal tracking of patients, quantitative evaluations of progression and regression of stenosis, and subsequent outcome analysis.

描述（由申请人提供）：拟议研究的目的是开发自动化方法，以在临床环境中进行准确可靠的定量血管测量（容器直径，横截面和距离）。开发的技术不仅将为心脏病专家提供直接的定量信息以及纵向患者评估的手段，而且还可能是更广泛和跨模式的患者评估的基础。在先前资助的研究下，我们开发了一种系统，用于在分析开始后的5分钟内从双翼飞机图像对中准确且可重复地确定3D血管树中心线。在此持续提案中，我们不仅将提高中心线准确性，而且还将开发新技术（a）用于全自动中心线确定，（b）用于使用实验室中开发的突破的管腔重建，以及（c）与IVUS数据的一致性和比较，以与足够的速度相结合和比较，以提供足够的临床关键信息。这些研究将超越对测量量的准确性和可靠性的评估，包括评估这些数据对猪模型和患者的导管插入过程中临床决策的影响。随着心血管干预措施的复杂性日益增长，以及在临床研究中进行横求合性和纵向比较的精确表征的必要性，我们将这项研究视为血管分析的关键下一步。结果，我们坚信拟议的研究将导致更准确，更全面的血管数据，更安全的血管造影研究，对患者的更好纵向跟踪，对狭窄的进展和回归的定量评估以及随后的结果分析。