The paper proposes a Bayesian 3D ultrasound reconstruction/estimation from non-uniform ultrasound observations, non-Gaussian data fidelity term, and total variation (TV) based prior. To compute the maximum a posteriori (MAP) solution, we introduce a generalized expectation maximization (GEM) algorithm, which converges to the exact MAP solution in the case of convex data fidelity term. A set of experiments illustrates the effectiveness of the method.
Minimum total variation in 3D ultrasound reconstruction
IEEE International Conference on Image Processing 2005 ; 3 ; III-597
2005-01-01
2095911 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Minimum Total Variation in 3D Ultrasound Reconstruction
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