超声心动图的边界检测使用分裂Bregman边缘检测器和拓扑保持水平集方法

N. Duggan, Hayden Schaeffer, C. L. Guyader, E. Jones, M. Glavin, L. Vese
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引用次数: 2

摘要

本文提出了一种将几何活动轮廓分割布雷格曼(GSB)方法与拓扑保持水平集方法相结合的超声心动图分割新方法。通过对2个数据集上20帧图像的手工描绘进行测试,该方法的平均Hausdorff距离为4.01±1.06 mm,平均绝对距离为1.62±0.3 mm,与基于强度梯度和区域的方法相比,性能有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Boundary detection in echocardiography using a Split Bregman edge detector and a topology preserving level set approach
In the current paper a novel approach for echocardiographic segmentation is proposed based on a combination of the Geometric Active Contour Split Bregman (GSB) method with a topology preserving level set method. The proposed method was tested against manual delineations on 20 frames across 2 datasets and achieved an average Hausdorff distance of 4.01 ± 1.06 mm and Mean Absolute distance of 1.62 ± 0.3 mm, which represented an enhanced performance when compared with intensity gradient and region based methods.
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