SINGLE IMAGE SUPER-RESOLUTION OF MEDICAL ULTRASOUND IMAGES USING A FAST ALGORITHM

被引：33

作者：

Zhao, Ningning ^{[1
,2
]}

Wei, Qi ^{[3
]}

Basarab, Adrian ^{[2
]}

Kouame, Denis ^{[2
]}

Tourneret, Jean-Yves ^{[1
]}

机构：

[1] Univ Toulouse, IRIT INP ENSEEIHT, F-31071 Toulouse 7, France

[2] Univ Toulouse, IRIT, CNRS UMR 5505, Univ Toulouse 3, Toulouse, France

[3] Univ Cambridge, Dept Engn, Cambridge CB2 1TN, England

来源：

2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2016年

关键词：

Ultrasound; single image super-resolution; circulant matrix; ADMM; l(p)-norm regularization;

D O I：

10.1109/ISBI.2016.7493310

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper addresses the problem of super-resolution (SR) for medical ultrasound (US) images. Contrary to device-based approaches, we investigate a post-processing method to invert the direct linear model of US image formation. Given the ill-posedness of single image SR, we proposed an l(p)-norm (1 <= p <= 2) regularizer for the US tissue reflectivity function/image to be estimated. To solve the associated optimization problem, we propose a novel way to explore the decimation and blurring operators simultaneously. As a consequence, we are able to compute the analytical solution for the l(2)-norm regularized SR problem and to embed the analytical solution to an alternating direction method of multipliers for the l(p)-norm regularized SR problem. The behavior of the proposed algorithm is illustrated using synthetic, simulated and in vivo US data.

引用

页码：473 / 476

页数：4

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