Minimum total variation in 3D ultrasound reconstruction

被引：0
|
作者：
Sanches, J [1 ]
Bioucas-Dias, JM [1 ]
Marques, JS [1 ]
机构：
[1] Univ Tecn Lisboa, Inst Telecomunicacoes, Inst Sistemas & Robot, Inst Super Tecn, Lisbon, Portugal
来源：
2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2889 / 2892
页数：4
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