In this paper, we propose a tubular structure segmentation method based on an adaptive front propagation scheme (AFP). Basically, the segmentation procedure is carried out by thresholding a geodesic distance map associated to a given metric. We adopt an asymmetric quadratic metric for estimating the geodesic distance values via a freezing front fast marching algorithm. The asymmetry property encoded in our method can alleviate the front leakage problem encountered in the traditional AFP method. Experimental results in both synthetic and real images prove the ability of the introduced method in extracting tubular structures.
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