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MR IMAGING AND COMPUTER RECONSTRUCTION OF FLOW PATTERNS

流型的 MR 成像和计算机重建

基本信息

批准号：
2222998
负责人：
MICHAEL H BUONOCORE
金额：
$ 8.79万
依托单位：
UNIVERSITY OF CALIFORNIA AT DAVIS
依托单位国家：
美国
项目类别：
财政年份：
1993
资助国家：
美国
起止时间：
1993-09-30 至 1998-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/2222998
关键词：
angiography cardiovascular disorder diagnosis cardiovascular imaging /visualization computer simulation diagnosis quality /standard heart circulation image processing magnetic resonance imaging mathematical model rapid diagnosis swine technology /technique development

项目摘要

MRI velocity encoded phase imaging has the potential for rapid, accurate and precise determination of 3-D blood flow patterns. It is believed that if the capability to display and quantitate these flow patterns were readily available, routine diagnostic utilization would emerge. immediate diagnostic applications include improved measurement of traditional cardiovascular parameters such as cardiac output, stroke volume, regurgitant fractions, pressure gradients, and quantitative assessment of vascular aneurysms and malformations. A new application is the measurement of total left and right coronary artery flow from measurements of velocity in the ascending aorta, aortic root, and proximal portions of these vessels. The broad, long term objective of the application is the development of rapid, accurate and precise MR imaging techniques for reconstruction and visualization of 3-D blood flow patterns. The application will develop (1) cardiac gated, limited field of view (FOV) 3-D velocity encoded pulse sequences for generation of velocity data, and (2) algorithms based on fluid mechanics for reconstruction and display of the flow patterns. Selective RF signal suppression or excitation will be used to allow collection of 3-D data with a small FOV and small number of phase encode steps in each direction. Accuracy and precision of the velocity data will be achieved by adapting 2-D pulse sequence methodology. Time-coded streamlines will be used to visualize the flow patterns. Fluid dynamics conservation laws, vessel boundary, and constant flux constraints will be imposed on the 3-D velocity data to significantly improve the internal consistency of the data and the accuracy and precision of reconstructed streamlines. The new techniques will be applied to the measurement of coronary artery flow. While several groups have developed optimized pulse sequences to visualize the coronary arteries, measurement of total flow is not yet reliable. Differences in pulse sequence design for flow measurement are the need for (I) high temporal resolution to eliminate errors due to pulsatility, (2) thin slices to minimize partial volume errors, and (3) data acquisition through the entire RR interval. The 3-D pulse sequences will measure, in a single sequence, the blood velocity in the ascending aorta, sinuses of Valsalva leading into the coronary arteries, and within the coronary arteries. The reconstruction algorithms will improve the internal consistency of the velocity data and generate flow patterns that are consistent with fluid dynamics constraints.

磁共振速度编码相位成像具有快速、准确和精确的三维血流模式。据信如果显示和量化这些流动模式的能力容易获得的常规诊断应用将会出现。立即诊断应用包括改进传统的心血管参数如心输出量，每搏输出量，阻力分数、压力梯度和定量评估血管瘤和畸形。一个新的应用是测量左、右冠状动脉血流速度测量值在升主动脉、主动脉根和这些血管的近端部分，船舶. 该应用程序的广泛，长期目标是开发快速、准确和精确的MR成像技术， 3D血流模式的可视化。应用程序将开发（1）心脏门控、有限视野（FOV）三维速度编码脉冲用于生成速度数据的序列，以及（2）基于流体力学用于重建和显示流动模式。将使用选择性RF信号抑制或激励，具有小视野和少量相位编码的3D数据集合每个方向的步骤。速度数据的准确性和精确度将通过调整2-D脉冲序列方法来实现。时间编码流线将被用于可视化流动模式。流体动力学守恒定律、容器边界和恒定通量约束将被施加在三维速度数据，以显着提高内部数据的一致性和重建的准确性和精度流线型新技术将应用于冠状动脉的测量流虽然几个小组已经开发了优化的脉冲序列，可视化冠状动脉，测量总流量还没有可靠用于流量测量的脉冲序列设计的差异在于需要（I）高时间分辨率以消除由于脉动性，（2）薄切片，以最大限度地减少部分容积误差，以及（3）整个RR间期的数据采集。三维脉冲序列将测量，在一个单一的序列，血液速度在上升主动脉、通向冠状动脉的Valsalva窦，以及冠状动脉重建算法将改善速度数据的内部一致性，并生成符合流体动力学的限制