Title :
Minimum total variation in 3D ultrasound reconstruction
Author :
Sanches, João ; Bioucas-Dias, José M. ; Marques, Jorge S.
Author_Institution :
Instituto Superior Tecnico, Lisbon, Portugal
Abstract :
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.
Keywords :
Bayes methods; biomedical ultrasonics; expectation-maximisation algorithm; image reconstruction; medical image processing; ultrasonic imaging; 3D ultrasound estimation; 3D ultrasound reconstruction; MAP solution; convex data fidelity; generalized expectation maximization algorithm; maximum a posteriori solution; minimum total variation; nonGaussian data fidelity term; nonuniform ultrasound observations; Bayesian methods; Degradation; Humans; Interpolation; Medical diagnosis; Reconstruction algorithms; Robots; TV; Telecommunication computing; Ultrasonic imaging;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530462
