MEDICAL IMAGE SEGMENTATION WITH MINIMAL PATH
Deformable Models, Pingkun Yun · 2004
This paper presents an algorithm that segments medical images by extracting object contours. It delineates object boundaries by detecting a path with the minimum energy on the image. A worm algorithm based on deformahlc models is proposed to find the minimal path by using thc dynamic programming technique. The proposed algorithm overcomes the shortcomings of traditional deformable models such as fastidious initialization and inefficiency on segmenting objects with complex shapes or topo~ogles. After presenting the algorithm, its performance on various synthctic and mcdical images is shown. Experimental results indicate that the proposed algorithm is robust to noise and edge discontinuities.