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首页> 外文会议>International Workshop on Functional Imaging and Modeling of the Heart(FIMH 2005); 20050602-04; Barcelona(ES) >Dense Myocardium Deformation Estimation for 2D Tagged MRI
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Dense Myocardium Deformation Estimation for 2D Tagged MRI

机译：二维标记MRI的密集心肌变形估计

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摘要

Magnetic resonance tagging technique measures the deformation of the heart wall by overlying darker tag lines onto the brighter myocardium and tracking their motion during the heart cycle. In this paper, we propose a new spline-based methodology for constructing a dense cardiac displacement map based on the tag tracking result. In this new approach, the deformed tags are tracked using a Gabor filter-based technique and smoothed using implicit splines. Then we measure the displacement in the myocardium of both ventricles using a new spline interpolation model. This model uses rough segmentation results to set up break points along tag tracking spline so that the local myocardium deformation will not be influenced by the tag information in the blood or the deformation in other parts of the myocardium. The displacements in x- and y- directions are calculated separately and are combined later to form the final displacement map. This method accepts either a tag grid or separate horizontal and vertical tag lines as its input by adjusting the offsets of images taken at different breath hold. The method can compute dense displacement maps of the myocardium for time phases during systole and diastole. The approach has been quantatively validated on phantom images and been tested on more than 20 sets of in-vivo heart data.
机译：磁共振标记技术通过将较暗的标记线覆盖在较亮的心肌上并跟踪其在心脏周期中的运动来测量心脏壁的变形。在本文中，我们提出了一种基于样条的新方法，用于基于标签跟踪结果构建密集的心脏位移图。在这种新方法中，使用基于Gabor滤波器的技术跟踪变形的标签，并使用隐式样条曲线对其进行平滑处理。然后，我们使用新的样条插值模型测量两个心室心肌的位移。该模型使用粗略的分割结果沿标签跟踪样条建立断点，以便局部心肌变形不会受到血液中标记信息或心肌其他部位变形的影响。分别计算x和y方向上的位移，并在以后合并以形成最终位移图。通过调整在不同屏息时拍摄的图像的偏移量，此方法可以接受标签网格或单独的水平和垂直标签线作为其输入。该方法可以计算收缩期和舒张期的时间间隔的心肌的密集位移图。该方法已在幻像图像上进行了定量验证，并已在20多种体内心脏数据上进行了测试。

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