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首页> 外文期刊>Magnetic resonance imaging: An International journal of basic research and clinical applications >FoCA: A new framework of coupled geometric active contours for segmentation of 3D cardiac magnetic resonance images
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FoCA: A new framework of coupled geometric active contours for segmentation of 3D cardiac magnetic resonance images

机译：FOCA：用于分割3D心脏磁共振图像的耦合几何活动轮廓的新框架

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摘要

In this paper, a new framework of coupled active contours (FoCA) is proposed for segmentation of the left ventricle myocardium, in cardiac magnetic resonance (CMR) images, without primary learning and user-driven segmentation. Primarily, we suggest a pair of coupled geometric active contours (GACs) for segmentation of the endo- and epicardial boundaries of the left ventricle in every CMR slice. The energy functional of each active contour includes the edge and shape terms of the STACS energy functional, regulator term of the local binary fitting (LBF), and new region and coupling terms. Two new patch-based region terms, inspired by LBF and piecewise model, are proposed to effectively handle intensity inhomogeneity of CMR images. Furthermore, a coupling energy term is added to the epicardial energy functional to avoid intersection with the endocardial curve. For 3D implementation, every 2D active contour in each slice is effectively jointed to the corresponding curves in the previous and next slices (of the same volume) by using a new coupling energy term, obtained by extending the 2D length-shortening regulator. Also, the initial contour and algorithm parameters are automatically regulated. Finally, 3D + t implementation is performed by using the sequential initialization method. Experimental results demonstrated that the proposed method provided superior solution quality compared to a large number of counterpart algorithms by using two well-known frequently-used databases.
机译：在本文中，提出了一种新的耦合有源轮廓（FOCA）的框架，用于对心脏磁共振（CMR）图像中的左心室心肌进行分割，没有主要学习和用户驱动的分割。主要是，我们建议一对耦合的几何活性轮廓（GACS），用于在每个CMR切片中分割左心室的内皮和心外膜边界。每个活动轮廓的能量功能包括Stacs能量功能，局部二元拟合（LBF）的调节器项和新区域和耦合术语的边缘和形状。提出了由LBF和分段模型的启发的两个基于补丁的区域术语，以有效地处理CMR图像的强度不均匀性。此外，将偶联能量术语添加到外膜能量函数，以避免与心内膜曲线交叉。对于3D实现，通过使用通过延伸2D长度缩短调节器获得的新耦合能量，每个切片中的每个2D处的每个2D主动轮廓有效地接合到前一个和下一个切片（相同体积）中的相应曲线。此外，初始轮廓和算法参数被自动调节。最后，通过使用顺序初始化方法执行3D + T实现。实验结果表明，通过使用两个众所周知的常用数据库，所提出的方法提供了卓越的溶液质量。

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