Frame based segmentation for medical images

Medical image segmentation is an important but difficult problem that attracts tremendous attentions of researchers from various fields. In this paper, we propose a frame based model, as well as a fast implementation, for general medical image segmentation problems. Our model combines ideas of the frame based image restoration model of [1] with ideas of the total variation based segmentation model of [2, 3, 4, 5]. Numerical experiments show that the proposed frame based model outperforms total variation based model in terms of capturing key features of biological structures. Successful segmentations of blood vessels and aneurysms in 3D CT angiography images are also presented.

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