使用通过磁共振获取的数据对主动脉僵硬度进行计算机辅助评估。

Computer-assisted evaluation of aortic stiffness using data acquired via magnetic resonance.

作者信息

Shao Xianzhi, Fei Ding-Yu, Kraft Kenneth A

机构信息

Department of Biomedical Engineering, P.O. Box 980694, Medical College of Virginia, Virginia Commonwealth University, Richmond, VA 23298-0694, USA.

出版信息

Comput Med Imaging Graph. 2004 Sep;28(6):353-61. doi: 10.1016/j.compmedimag.2004.04.006.

DOI:10.1016/j.compmedimag.2004.04.006

PMID:15294313

Abstract

Aortic stiffness is frequently assessed through pulse wave velocity (PWV) measurements. Based on data acquired by magnetic resonance (MR) using a one-dimensional time-of-flight technique, a new computational tool has been developed to rapidly construct flow velocity images and automatically calculate PWV. Comparison between PWV results obtained from this and a manual analysis demonstrates good agreement (correlation coefficient of 0.9951), while the new method improves the time efficiency by more than 20 times. The new method can also significantly improve flow signal quality and yield more credible results when strong interfering background signals are present.

摘要

主动脉僵硬度通常通过脉搏波速度（PWV）测量来评估。基于使用一维飞行时间技术的磁共振（MR）获取的数据，已开发出一种新的计算工具，用于快速构建流速图像并自动计算PWV。将此方法与手动分析获得的PWV结果进行比较，结果显示出良好的一致性（相关系数为0.9951），而新方法将时间效率提高了20倍以上。当存在强烈干扰背景信号时，新方法还可以显著提高血流信号质量并产生更可靠的结果。