Multiple resolution Bayesian segmentation of ultrasound images

@article{Ashton1994MultipleRB,
  title={Multiple resolution Bayesian segmentation of ultrasound images},
  author={Edward A. Ashton and Kevin J. Parker},
  journal={Ultrasonic imaging},
  year={1994},
  volume={17 4},
  pages={291-304}
}
We propose a novel method for obtaining the maximum a posteriori (MAP) probabilistic segmentation of speckle-laden ultrasound images. Our technique is multiple-resolution based, and relies on the conversion of speckle images with Rayleigh statistics to subsampled images with Gaussian statistics. This conversion reduces computation time, as well as allowing accurate parameter estimation for a probabilistic segmentation algorithm. Results appear to provide improvements over previous techniques in… CONTINUE READING

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