Maximum likelihood contour estimation using beta-statistics in ultrasound images

@article{Martn2001MaximumLC,
  title={Maximum likelihood contour estimation using beta-statistics in ultrasound images},
  author={Miguel Exp{\'o}sito Mart{\'i}n and Raul San Jose and C. Alberola},
  journal={ISPA 2001. Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis. In conjunction with 23rd International Conference on Information Technology Interfaces (IEEE Cat.},
  year={2001},
  pages={207-212}
}
In this paper, we address the problem of detecting the contour of objects in speckled ultrasound images. A prior hypothesis is made on the first order statistics of the image intensity that is related to the shape of the objects: the mean and variance of the images can he non-stationary, but they should be invariant to the normalized distance from a particular point in the image to the contour center. Furthermore, the first order statistics are modeled with a beta distribution. The choice for… CONTINUE READING

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