Matrix Compression and Compressed Sensing Reconstruction for Photoacoustic Tomography

被引：1

作者：

Bu, Shuhui ^{[1
]}

Liu, Zhenbao ^{[1
]}

Shiina, Tsuyoshi ^{[2
]}

Fukutani, Kazuhiko ^{[3
]}

机构：

[1] Northwestern Polytech Univ, Xian 710072, Peoples R China

[2] Kyoto Univ, Kyoto 6068501, Japan

[3] Canon Inc, Tokyo 1468501, Japan

来源：

ELEKTRONIKA IR ELEKTROTECHNIKA | 2012年 / 18卷 / 09期

关键词：

Biomedical imaging; reconstruction algorithms; computed tomography; compressed sensing; IMAGE-RECONSTRUCTION;

D O I：

10.5755/j01.eee.18.9.2819

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：

Online medical diagnosis is an emerging type of medical services, also it is a new kind of service for electronic commerce. Photoacoustic tomography is a promising imaging modality that can provide high contrast and spatial-resolution images of light-absorption distribution in tissue. This paper presents novel matrix compression methods for reducing required memory and accelerating reconstruction speed for model-based reconstruction. In addition, we integrated the compressed sensing into our proposed reconstruction method for solving the optimization problem. The results of phantom experiment indicate that the proposed method provides a faster and high quality reconstruction with less memory consumption. Therefore, it makes the photoacoustic tomography suitable for online or remote medical diagnosis.

引用

页码：101 / 104

页数：4

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