ULTRASOUND IMAGE RECONSTRUCTION FROM COMPRESSED MEASUREMENTS USING APPROXIMATE MESSAGE PASSING

被引：0

作者：

Kim, J-H. ^{[1
]}

Basarab, A. ^{[2
]}

Hill, P. R. ^{[1
]}

Bull, D. R. ^{[1
]}

Kouame, D. ^{[2
]}

Achim, A. ^{[1
]}

机构：

[1] Univ Bristol, Visual Informat Lab, Bristol BS8 1UB, Avon, England

[2] Univ Toulouse, IRIT UMR CNRS 5505, CNRS, INPT,UPS,UT1C,UT2J, Toulouse, France

来源：

2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2016年

关键词：

ultrasonic images; Compressive Sampling; nonconvex optimization; IRLS; AMP; image denoising; SIGNAL RECOVERY; ALGORITHMS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we propose a novel framework for compressive sampling reconstruction of biomedical ultrasonic images based on the Approximate Message Passing (AMP) algorithm. AMP is an iterative algorithm that performs image reconstruction through image denoising within a compressive sampling framework. In this work, our aim is to evaluate the merits of several combinations of a denoiser and a transform domain, which are the two main factors that determine the recovery performance. In particular, we investigate reconstruction performance in the spatial, DCT, and wavelet domains. We compare the results with existing reconstruction algorithms already used in ultrasound imaging and quantify the performance improvement.

引用

页码：557 / 561

页数：5

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