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

页码：2889 / 2892

页数：4

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