一种使用相位对比磁共振成像进行心肌运动分析的快速且高度自动化的方法。
A fast and highly automated approach to myocardial motion analysis using phase contrast magnetic resonance imaging.
作者信息
Bergvall Erik, Cain Peter, Arheden Håkan, Sparr Gunnar
机构信息
Centre for Mathematical Sciences, Lund Institute of Technology, Lund, Sweden.
出版信息
J Magn Reson Imaging. 2006 May;23(5):652-61. doi: 10.1002/jmri.20565.
PURPOSE
To develop a fast and highly automated method for calculating two-dimensional myocardial motion and deformation using velocity encoded magnetic resonance imaging.
MATERIALS AND METHODS
Two-dimensional phase contrast magnetic resonance imaging was used to acquire time resolved velocity maps of the myocardium. Cardiac motion was calculated by an iterative integration-regularization scheme of low computational cost. Image segmentation was performed using active appearance models.
RESULTS
Validation of motion tracking was performed in N = 47 subjects using saturation grid-tagging and closely followed "tag-lines." Image segmentation was validated vs. manual delineation.
CONCLUSION
The speed and limited user interaction gives the method good potential for use in clinical practice.
目的
开发一种使用速度编码磁共振成像计算二维心肌运动和变形的快速且高度自动化的方法。
材料与方法
使用二维相位对比磁共振成像获取心肌的时间分辨速度图。通过计算成本低的迭代积分正则化方案计算心脏运动。使用主动外观模型进行图像分割。
结果
在N = 47名受试者中使用饱和网格标记和紧密跟踪的“标记线”对运动跟踪进行了验证。与手动描绘相比对图像分割进行了验证。
结论
该方法的速度和有限的用户交互使其在临床实践中有很好的应用潜力。
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