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3-D Bayesian ultrasound breast image segmentation using the EM/MPM algorithm

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4 Author(s)
Christopher, L.A. ; Video & Image Process. Lab., Purdue Univ., West Lafayette, IN, USA ; Delp, E.J. ; Meyer, C.R. ; Carson, P.L.

In this paper, ultrasound breast image segmentation is improved by using the volumetric data available in neighboring slices. The new algorithm extends the EM/MPM framework to 3D by including pixels from neighboring frames in the Markov Random Field (MRF) clique. In addition, this paper describes a unique linear cost factor introduced in the optimization loop to compensate for the attenuation common to ultrasound images.

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Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on

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