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使用圆柱B样条模型从标记磁共振成像进行三维心肌应变重建。

Three-dimensional myocardial strain reconstruction from tagged MRI using a cylindrical B-spline model.

作者信息

Deng Xiang, Denney Thomas S

机构信息

Department of Electrical and Computer Engineering, Auburn University, Auburn, AL 36830, USA.

出版信息

IEEE Trans Med Imaging. 2004 Jul;23(7):861-7. doi: 10.1109/TMI.2004.827961.

Abstract

In this paper, we present a new method for reconstructing three-dimensional (3-D) left ventricular myocardial strain from tagged magnetic resonance (MR) image data with a 3-D B-spline deformation model. The B-spline model is based on a cylindrical coordinate system that more closely fits the morphology of the myocardium than previously proposed Cartesian B-spline models and does not require explicit regularization. Our reconstruction method first fits a spatial coordinate B-spline displacement field to the tag line data. This displacement field maps each tag line point in the deformed myocardium back to its reference position (end-diastole). The spatial coordinate displacement field is then converted to material coordinates with another B-spline fit. Finally, strain is computed by analytically differentiating the material coordinate B-spline displacement field with respect to space. We tested our method with strains reconstructed from an analytically defined mathematical left ventricular deformation model and ten human imaging studies. Our results demonstrate that a quadratic cylindrical B-spline with a fixed number of control points can accurately fit a physiologically realistic range of deformations. The average 3-D reconstruction computation time is 20 seconds per time frame on a 450 MHz Sun Ultra80 workstation.

摘要

在本文中,我们提出了一种利用三维B样条变形模型从标记磁共振(MR)图像数据重建三维(3-D)左心室心肌应变的新方法。该B样条模型基于柱面坐标系,与先前提出的笛卡尔B样条模型相比,它更紧密地贴合心肌形态,并且不需要显式正则化。我们的重建方法首先将空间坐标B样条位移场拟合到标记线数据。该位移场将变形心肌中的每个标记线点映射回其参考位置(舒张末期)。然后,通过另一次B样条拟合将空间坐标位移场转换为物质坐标。最后,通过对物质坐标B样条位移场进行空间解析微分来计算应变。我们用从解析定义的数学左心室变形模型和十项人体成像研究中重建的应变来测试我们的方法。我们的结果表明,具有固定数量控制点的二次柱面B样条能够准确拟合生理上现实的变形范围。在一台450 MHz的Sun Ultra80工作站上,每个时间帧的平均三维重建计算时间为20秒。

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