Unet-based for photoacoustic imaging artifact removal - Details

Author：

Deng, Jianguang (Deng, Jianguang.) | Feng, Jinchao (Feng, Jinchao.) | Li, Zhe (Li, Zhe.) | Sun, Zhonghua (Sun, Zhonghua.) | Jia, Kebin (Jia, Kebin.)

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Abstract：

In　photoacoustic　tomography,　many　artifacts　exist　in　the　reconstructed　images.　To　improve　the　image　quality,　we　propose　a　novel　architecture,　dubbed　SE-Unet.　Superior　performances　are　obtained　comparing　to　back　projection　and　the　Sta-Unet　based　algorithm.　©　OSA　2020

Keyword：

Photoacoustic effect Image enhancement

Author Community：

[ 1 ] [Deng, Jianguang]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Deng, Jianguang]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
[ 3 ] [Feng, Jinchao]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Feng, Jinchao]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
[ 5 ] [Li, Zhe]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 6 ] [Li, Zhe]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
[ 7 ] [Sun, Zhonghua]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 8 ] [Sun, Zhonghua]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
[ 9 ] [Jia, Kebin]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 10 ] [Jia, Kebin]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China

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Year： 2020

Language： English

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

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Chinese Cited Count：

30 Days PV： 8

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