METHOD FOR PET QUANTIFICATION OF MYOCARDIAL PERFUSION

心肌灌注 PET 定量方法

• 批准号: 2226130
• 负责人: PING-CHUN CHIAO
• 金额: $ 9.41万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-01-01 至 1998-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2226130
• 关键词: body movement; diagnosis quality /standard; dogs; heart circulation; heart disorder diagnosis; heart motion; method development; noninvasive diagnosis; nuclear medicine; positron emission tomography; radiotracer

On-going research activities have focused on advancing PET from a qualitative to a quantitative imaging modality for the non-invasive characterization of coronary artery disease (CAD). Since CAD causes 1.5 million myocardial infarctions and 520,000 deaths per year (one-third to one-half deaths between the ages of 35 and 64) in the United States, it is critically important to define its severity for cardiologists to decide objectively among dietary control and therapeutic interventions (such as thrombolytic therapy, balloon angioplasty, and bypass surgery) and for assessment of effects of these treatments. Over the years, PET has been proven as a highly sensitive and specific diagnostic tool for the detection of CAD. At the present time, PET represents the most promising non-invasive means to quantify regional blood flow and coronary reserve, which has been shown to provide a sensitive marker for the functional significance of coronary artery stenosis. Intensive research has been devoted to developing or validating kinetic models for PET perfusion agents such as N-13 ammonia, O-15 water, and rubidium-82. However, accurate quantification of myocardial perfusion using PET is difficult to achieve because of difficulties in analyzing degraded image data (due to finite spatial resolution, counting noise, accidental coincidence, instrument deadtime, and patient motion) and limitations on myocardial boundary delineation. To overcome such difficulties and limitations, we propose an integrated approach in which a 3D measurement model characterizes the imagine degradation factors, relates perfusion, myocardial boundary parameters, blood pool concentration (input function) and spatial positions of the heart (for patient motion correction) to the projection data, and allows joint estimation of these parameters directly from the projection data based on maximum likelihood criteria. The long term goal of this research is to develop and validate more accurate methods for simultaneously estimating myocardial perfusion and boundaries from gated dynamic PET data. The aim of this proposal is to prove a hypothesis that the model-based method will provide more accurate perfusion estimates even in unaged situations. To prove our hypothesis, we will develop a 3D measurement model and will construct a 3D digital dog-thorax phantom to refine the model and to develop methods for body movement correction. We will then conduct dog heart perfusion studies using N-13 ammonia, analyze data based on the refined model and simulation experience, and evaluate the performance of perfusion estimation against conventional methods and a gold standard. We will perform preliminary trials on N-13 ammonia patient data.

正在进行的研究活动集中在推动PET从 从定性到定量的非侵入性成像方式 冠状动脉疾病(CAD)的特征。由于CAD导致1.5 每年有100万心肌梗死和520,000人死亡(三分之一到 35岁到之间的死亡人数的一半)在美国，它 对于心脏病专家来说，确定其严重性至关重要 在饮食控制和治疗干预之间做出客观决定 (如溶栓治疗、球囊血管成形术和搭桥手术) 并评估这些治疗的效果。多年来，PET 已被证明是一种高度敏感和特异的诊断工具 CAD的检测。目前，PET代表着最多的 有希望的无创方法量化区域血流和冠状动脉 储备，这已被证明是一个敏感的标志 冠状动脉狭窄的功能意义。深入研究 一直致力于开发或验证PET的动力学模型 灌注剂，如N-13氨、O-15水和Rb-82。 然而，使用正电子发射计算机断层扫描对心肌灌注的准确定量是 难以实现，因为分析降级图像有困难 数据(由于空间分辨率有限、计数噪声、意外 巧合、仪器死时间和患者运动)和限制 心肌边界的勾画。 为了克服这些困难和限制，我们提出了一种综合的 一种3D测量模型表征图像的方法 降解因子，与血流灌注，心肌边界参数， 血池浓度(输入函数)和空间位置 心脏(用于患者运动校正)到投影数据，并允许 直接从投影数据联合估计这些参数 基于最大似然准则。这样做的长期目标是 研究的目的是开发和验证更准确的方法 利用门控技术同时估计心肌血流灌注和边界 动态PET数据。这项提议的目的是证明一个假设 基于模型的方法将提供更准确的血流灌注估计。 即使是在未成年的情况下。 为了证明我们的假设，我们将开发一个3D测量模型，并将 构建一个3D数字狗胸模型，以完善模型并 发展身体运动矫正的方法。然后我们将引导狗 使用N-13氨水进行心脏灌注研究，基于 改进了模型和仿真体验，并评估了 对照常规方法和黄金标准进行血流灌注评估。 我们将对N-13氨患者的数据进行初步试验。