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相位展开谐波相位的三维加时间双心室应变的标记 MR 图像。

Three-dimensional plus time biventricular strain from tagged MR images by phase-unwrapped harmonic phase.

机构信息

Electrical and Computer Engineering Department, Auburn University, Auburn, Alabama 36849-5201, USA.

出版信息

J Magn Reson Imaging. 2011 Oct;34(4):799-810. doi: 10.1002/jmri.22665. Epub 2011 Jul 18.

Abstract

PURPOSE

To validate a method called bi-ventricular strain unwrapped phase (BiSUP) for reconstructing three-dimensional plus time (3D+t) biventricular strain maps from phase-unwrapped harmonic phase (HARP) images derived from tagged cardiac magnetic resonance imaging (MRI).

MATERIALS AND METHODS

A set of 30 human subjects were imaged with tagged MRI. In each study, HARP phase was computed and unwrapped in each short-axis and long-axis image. Inconsistencies in unwrapped phase were resolved using branch cuts manually placed with a graphical user interface. The 3D strain maps were computed independently in each imaged time frame through systole and mid diastole in each study. The BiSUP strain and displacements were compared with those estimated by a 3D feature-based (FB) technique and a 2D+t HARP technique.

RESULTS

The standard deviation of the difference between strains measured by the FB and the BiSUP methods was less than 4% of the average of the strains from the two methods. The correlation between peak minimum principal strain measured using the BiSUP and HARP techniques was over 83%.

CONCLUSION

The BiSUP technique can reconstruct full 3D+t strain maps from tagged MR images through the cardiac cycle in a reasonable amount of time and user interaction compared with other 3D analysis methods.

摘要

目的

验证一种名为双心室应变解缠相位(BiSUP)的方法,用于从心脏磁共振成像(MRI)标记的相位展开谐相(HARP)图像重建三维加时间(3D+t)双心室应变图。

材料和方法

一组 30 名受试者进行了 MRI 标记成像。在每一项研究中,计算并展开了短轴和长轴图像中的 HARP 相位。使用图形用户界面手动放置分支切割来解决展开相位中的不一致性。通过在每个研究中收缩期和舒张中期,在每个成像时间帧中独立计算 3D 应变图。BiSUP 应变和位移与通过 3D 基于特征(FB)技术和 2D+t HARP 技术估计的应变和位移进行比较。

结果

FB 和 BiSUP 方法测量的应变之间差异的标准差小于两种方法的应变平均值的 4%。使用 BiSUP 和 HARP 技术测量的峰值最小主应变之间的相关性超过 83%。

结论

与其他 3D 分析方法相比,BiSUP 技术可以在合理的时间和用户交互量内,从标记的 MR 图像重建整个 3D+t 应变图,贯穿整个心动周期。

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