UNIFIED APPROACH TO QUANTIFY & VISUALIZE CARDIAC IMAGERY

统一的量化方法

• 批准号: 2220264
• 负责人: ERNEST V GARCIA
• 金额: $ 25.48万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-12-01 至 1996-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2220264
• 关键词: cineangiocardiography; clinical biomedical equipment; coronary disorder; diagnosis quality /standard; disease /disorder model; dogs; heart circulation; heart dimension /size; heart imaging /visualization /scanning; human subject; magnetic resonance imaging; positron emission tomography; prognosis; radionuclide diagnosis

Cardiac imaging has emerged as an important tool for assessing the diagnosis and prognosis of patients with coronary artery disease. The extent and severity of coronary arterial obstruction (provided by coronary arteriography), along with the degree of myocardial hypoperfusion (provided by perfusion tomography) and the extent of myocardial dysfunction (provided for instance with the measurement of myocardial thickening by magnetic resonance imaging (MRI) together, have long been recognized to be directly related to morbidity and mortality in patients with coronary artery disease. Yet, in clinical practice these imaging studies are most often viewed independently of each other and conventionally displayed in only 2 dimensions, severely limiting the clinicians ability to synthesize the true extent of the abnormalities. Accurate assessment of the extent and severity of coronary artery disease requires the multidimensional (equal to or greater than 3) integration of anatomic and physiologic information obtained independently from these cardiac imaging modalities. However, this integration has traditionally been subjective, time consuming, lacking standardization and difficult to conceptualize multidimensionally. The long term objectives of the proposed research in this competing continuation application are to overcome these limitations by continuing to develop and validate computer-based methods to multidimensionally quantify, unify and visualize the coronary arterial tree and the distributions of myocardial perfusion and thickening. During this next funding period, collaborators from Emory University and the Georgia Institute of Technology propose to continue to focus their efforts in fully completing the development and validation of each of the following methodologies: 1) complete automation of multidimensional reconstruction of the coronary vasculature from arbitrary, non-orthogonal biplane angiographic projections using non-parallel geometry, 2) multidimensional sampling and rendering of myocardial perfusion distributions, 3) multidimensional count based quantification of the amplitude and phase of the onset of myocardial thickening from multigated perfusion tomographic studies, and 4) complete automation of the unification of the multidimensional coronary vasculature with myocardial distributions. In addition, the unification concept will be extended to include myocardial thickening distributions from MRI. The extensive progress thus far achieved in these aims during the initial funding period is strong evidence to support further research, development, and clinical implementation of this multidimensional unified approach.

心脏成像已经成为评估心脏功能的重要工具。 冠心病患者的诊断和预后。 的 冠状动脉阻塞的范围和严重程度（由 冠状动脉造影），沿着与心肌 低灌注（由灌注断层扫描提供）和 心肌功能障碍（例如，通过测量 心肌增厚磁共振成像（MRI）一起， 长期以来被认为与发病率和死亡率直接相关 冠心病患者。 然而，在临床实践中， 影像学检查通常是相互独立的， 传统上仅以二维显示，严重限制了 临床医生综合异常的真实程度的能力。 准确评估冠状动脉疾病的范围和严重程度 需要多维（等于或大于3）整合 解剖和生理信息独立于这些 心脏成像模式。 然而，这种整合传统上 主观，耗时，缺乏标准化，难以 多维度地概念化。 的长期目标 在这一竞争性延续申请中，拟议的研究将 通过继续开发和验证， 以计算机为基础的方法，以多维量化，统一和 显示冠状动脉树和心肌分布 灌注和增厚。 在下一个资助期间，来自埃默里大学和 格鲁吉亚理工学院建议继续把重点放在 努力全面完成每一个 以下方法：1）多维的完全自动化 从任意的非正交的 使用非平行几何结构的双平面血管造影投影，2） 心肌灌注的多维采样和绘制 分布，3）基于多维计数的 多门控心肌增厚的幅度和相位 灌注断层扫描研究，和4）完全自动化的 多维冠状动脉血管与心肌的统一 分布。 此外，统一概念将扩大到 包括来自MRI心肌增厚分布。 2000年至2001年期间，在这些目标方面迄今取得的广泛进展， 资助期限是支持进一步研究的有力证据， 开发和临床实施这一多维统一 approach.