Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences.
Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences.
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通过优化肌纤维应变的跨壁均匀性进行心脏运动估计及其多模态序列的验证。
DOI：
10.1007/978-3-642-40811-3_62
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Song,Xubo
中科院分区：
文献类型：
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作者：
Zhang,Zhijun;Sahn,DavidJ;Song,Xubo
心脏影像定量运动分析是研究心脏功能的重要手段。现有的大多数基于图像的运动估计方法将心肌建模为一个各向同性弹性连续体。我们提出了一种新的各向异性正则化方法，该方法可以增强沿肌纤维的跨壁均匀性。通过弥散张量图谱记录肌纤维在舒张末期框架中的方向。我们的方法是在微分配准框架中制定的，并使用3D超声心动图和电影以及标记MRI对两个受试者的多模态心脏图像序列进行了测试。结果表明，与各向同性正则化相比，该方法的估计变换更加平滑，精度更高。
Quantitative motion analysis from cardiac imaging is important to study the function of heart. Most of existing image-based motion estimation methods model the myocardium as an isotropically elastic continuum. We propose a novel anisotropic regularization method which enforces the transmural homogeneity of the strain along myofiber. The myofiber orientation in the end-diastolic frame is obtained by registering it with a diffusion tensor atlas. Our method is formulated in a diffeomorphic registration framework, and tested on multimodal cardiac image sequences of two subjects using 3D echocardiography and cine and tagged MRI. Results show that the estimated transformations in our method are more smooth and more accurate than those in isotropic regularization.