Segmentation of medical ultrasound images: novel level set approach

Zhuhuang Zhou; Tianfu Wang; Jiangli Lin; Deyu Li

doi:10.1117/12.749433

14 November 2007 Segmentation of medical ultrasound images: novel level set approach

Zhuhuang Zhou, Tianfu Wang, Jiangli Lin, Deyu Li

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67890U (2007) https://doi.org/10.1117/12.749433
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper, a novel level set approach is proposed for segmentation of medical ultrasound images. Considering the speckle noise and low contrast of medical ultrasound images, we add an extra stopping term into the formulation of level set evolution without re-initialization (LSEWR). Compared with traditional active contour models, the proposed level set approach has more flexible initialization and larger capture range. It is insensitive to the initial contour and larger time step can be used. The initial contour can be easily initialized as a circle or rectangular, thus achieving semi-automatic segmentation of ultrasound medical images. The experimental results show that the proposed method can be used for semi-automatic and high-quality segmentation of medical ultrasound images.

Citation Download Citation

Zhuhuang Zhou, Tianfu Wang, Jiangli Lin, and Deyu Li "Segmentation of medical ultrasound images: novel level set approach", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67890U (14 November 2007); https://doi.org/10.1117/12.749433

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