Dynamic MRI for Myrocardial Perfusion and Viability

用于心肌灌注和活力的动态 MRI

• 批准号: 6732631
• 负责人: EDWARD VR DIBELLA
• 金额: $ 22.43万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-04-07 至 2007-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6732631
• 关键词: angiocardiography; bioimaging /biomedical imaging; blood flow measurement; clinical research; computer assisted diagnosis; contrast media; coronary disorder; diagnosis design /evaluation; diagnosis quality /standard; heart disorder diagnosis; heart imaging /visualization /scanning; human subject; image enhancement; magnetic resonance imaging; noninvasive diagnosis; patient oriented research; perfusion; positron emission tomography

DESCRIPTION (provided by applicant): This proposal seeks to improve the accuracy of noninvasive diagnosis and prognosis of coronary artery disease by using MRI and a gadolinium-based paramagnetic contrast agent. First-pass MRI with the modeling methods proposed here may be able to provide absolute regional blood flows at a high spatial resolution. These first-pass studies may also offer unique viability information. The specific aims are (1) To develop and optimize acquisition strategies to obtain data tailored for compartmental modeling (2) To develop clinically practical methods for analyzing the cardiac contrast MRI data with models (3) To compare the flow estimates from the MRI methods developed here to an MRI upslope perfusion index and to absolute blood flow measurements obtained with dynamic N-13-ammonia PET. (4) To add viability measures from the first pass modeling approach to delayed images to determine if such an approach improves prediction of viability. Methods: (1) Systematic analysis of temporal sampling strategies and the use of reduced k-space acquisitions to increase volume coverage, reduce artifacts, and maintain signal and high spatial resolution will be pursued using realistic computer simulations and human studies. (2) Linked active contours combined with temporal clustering methods will be developed to automatically segment the endocardium and epicardium in the time series data. Methods for blind identification of the input function (input functions are inaccurate at high gadolinium concentrations) will be developed and validated. Two different physiological models will be developed and compared in their ability to provide absolute flow values and reliable extracellular volume estimates. (3) The comparisons with MRI upslope and PET perfusion will be performed using 34 human studies. (4) The first-pass viability measures and three integrated viability measures will be compared to delayed enhancement Gd MRI images and to post-revascularization data in 17 patients. The outcome of this project will be validated imaging protocols and software for use with first-passMRI studies, and practical and accurate methods for myocardial perfusion and viability assessment in vivo. Such methods will be invaluable for improved health care and for improved basic science research, such as tracking nascent flow changes in gene therapy.

描述（由申请人提供）： 该提案旨在通过使用MRI和基于Gadolinium的顺磁对比剂来提高非侵入性诊断和预后的准确性。使用此处提出的建模方法的第一通通MRI可能能够以高空间分辨率提供绝对的区域血流。这些第一越过的研究也可能提供独特的可行性信息。 The specific aims are (1) To develop and optimize acquisition strategies to obtain data tailored for compartmental modeling (2) To develop clinically practical methods for analyzing the cardiac contrast MRI data with models (3) To compare the flow estimates from the MRI methods developed here to an MRI upslope perfusion index and to absolute blood flow measurements obtained with dynamic N-13-ammonia PET. （4）从第一个通过建模方法添加可行性度量到延迟图像，以确定这种方法是否改善了可行性的预测。方法：（1）使用逼真的计算机模拟和人类研究，将追求时间采样策略的系统分析，并使用减少K空间获取来增加量覆盖量，减少伪像以及保持信号和高空间分辨率。 （2）将开发与时间聚类方法结合的链接的活动轮廓，以在时间序列数据中自动分割心内膜和表达。将开发和验证输入函数的盲目识别方法（输入函数在高gadolinium浓度下是不准确的）。将开发两个不同的生理模型，并比较其提供绝对流动值和可靠细胞外体积估计值的能力。 （3）将使用34个人类研究进行与MRI上坡和PET灌注的比较。 （4）将将第一通通的生存力措施和三项综合的生存力措施与延迟增强GD MRI图像和17例患者的肿瘤后数据进行比较。该项目的结果将得到验证的成像协议和软件，可用于第一passMRI研究，以及在体内进行心肌灌注和可行性评估的实用，准确的方法。此类方法对于改善医疗保健和改进的基础科学研究将是无价的，例如跟踪基因治疗的新生流动变化。