Literature DB >> 24599085

Compressed sensing based virtual-detector photoacoustic microscopy in vivo.

Jing Meng1, Chengbo Liu2, Jiaxiang Zheng2, Riqiang Lin2, Liang Song2.   

Abstract

Photoacoustic microscopy (PAM) is becoming a vital tool for various biomedical studies, including functional and molecular imaging of cancer. However, due to the use of a focused ultrasonic transducer for photoacoustic detection, the image quality of conventional PAM degrades rapidly away from the ultrasonic focal zone. To improve the image quality of PAM for out-of-focus regions, we have developed compressed sensing based virtual-detector photoacoustic microscopy (CS-PAM). Through phantom and in vivo experiments, it has been demonstrated that CS-PAM can effectively extend the depth of focus of PAM, and thus may greatly expand its potential biomedical applications.

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Year:  2014        PMID: 24599085     DOI: 10.1117/1.JBO.19.3.036003

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  4 in total

1.  Dictionary learning sparse-sampling reconstruction method for in-vivo 3D photoacoustic computed tomography.

Authors:  Fangyan Liu; Xiaojing Gong; Lihong V Wang; Jingjing Guan; Liang Song; Jing Meng
Journal:  Biomed Opt Express       Date:  2019-03-05       Impact factor: 3.732

2.  Image enhancement in acoustic-resolution photoacoustic microscopy enabled by a novel directional algorithm.

Authors:  Fei Feng; Siqi Liang; Sung-Liang Chen
Journal:  Biomed Opt Express       Date:  2022-01-28       Impact factor: 3.732

3.  Depth-extended acoustic-resolution photoacoustic microscopy based on a two-stage deep learning network.

Authors:  Jing Meng; Xueting Zhang; Liangjian Liu; Silue Zeng; Chihua Fang; Chengbo Liu
Journal:  Biomed Opt Express       Date:  2022-07-27       Impact factor: 3.562

4.  Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages.

Authors:  Huangxuan Zhao; Ziwen Ke; Fan Yang; Ke Li; Ningbo Chen; Liang Song; Chuansheng Zheng; Dong Liang; Chengbo Liu
Journal:  Adv Sci (Weinh)       Date:  2020-12-21       Impact factor: 16.806

  4 in total

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