基于漩涡中心区域生长的心脏MR二维速度图像漩涡分割

A. Rao, D. Gillies
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引用次数: 2

摘要

提出了一种从二维血流场图像中提取漩涡结构的新方法。新技术首先在速度场中识别漩涡中心,然后使用基于候选点的雅可比矩阵的准则,以及已经确定的区域大小和形状,在这些点周围生长区域。凸性约束也被用来加强结果区域的一致性。该算法在保持涡旋中心概念的同时,考虑了涡旋结构的不对称性和非线性。我们介绍了从合成数据和血流速度图像中获得的方法结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vortex segmentation from cardiac MR 2D velocity images using region growing about vortex centres
We present a new method for extracting vortex structures from 2D blood flow field images. The new technique first identifies vortex centres in the velocity field, and then grows regions about these points using a criterion based on the Jacobeans evaluated at the candidate points, and the size and shape of the region already determined. A convexity constraint is also employed to enforce coherency in the resulting regions. The algorithm accounts for the asymmetry and nonlinearity in vortex structures while maintaining the concept of a vortex centre. We present results of the method obtained from synthetic data and a blood flow velocity image.
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