Literature DB >> 32208974

A generative adversarial network for artifact removal in photoacoustic computed tomography with a linear-array transducer.

Tri Vu1, Mucong Li1, Hannah Humayun1, Yuan Zhou1,2, Junjie Yao1.   

Abstract

Entities:  

Keywords:  Photoacoustic imaging; artifact removal; bioimaging; deep learning; generative adversarial network; photoacoustic computed tomography

Mesh：

Year:  2020        PMID： 32208974      PMCID： PMC7153213          DOI： 10.1177/1535370220914285

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN： 1535-3699


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  30 in total

1.  The application of compressed sensing for photo-acoustic tomography.

Authors:  Jean Provost; Frédéric Lesage
Journal:  IEEE Trans Med Imaging       Date:  2008-10-31       Impact factor: 10.048

2.  Whole-body ring-shaped confocal photoacoustic computed tomography of small animals in vivo.

Authors:  Jun Xia; Muhammad R Chatni; Konstantin Maslov; Zijian Guo; Kun Wang; Mark Anastasio; Lihong V Wang
Journal:  J Biomed Opt       Date:  2012-05       Impact factor: 3.170

3.  Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal.

Authors:  Steven Guan; Amir A Khan; Siddhartha Sikdar; Parag V Chitnis
Journal:  IEEE J Biomed Health Inform       Date:  2019-04-23       Impact factor: 5.772

4.  Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network.

Authors:  Xin Yi; Paul Babyn
Journal:  J Digit Imaging       Date:  2018-10       Impact factor: 4.056

5.  Deep tissue photoacoustic computed tomography with a fast and compact laser system.

Authors:  Depeng Wang; Yuehang Wang; Weiran Wang; Dandan Luo; Upendra Chitgupi; Jumin Geng; Yang Zhou; Lidai Wang; Jonathan F Lovell; Jun Xia
Journal:  Biomed Opt Express       Date:  2016-12-08       Impact factor: 3.732

6.  Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss.

Authors:  Qingsong Yang; Pingkun Yan; Yanbo Zhang; Hengyong Yu; Yongyi Shi; Xuanqin Mou; Mannudeep K Kalra; Yi Zhang; Ling Sun; Ge Wang
Journal:  IEEE Trans Med Imaging       Date:  2018-06       Impact factor: 10.048

7.  Deep neural network-based bandwidth enhancement of photoacoustic data.

Authors:  Sreedevi Gutta; Venkata Suryanarayana Kadimesetty; Sandeep Kumar Kalva; Manojit Pramanik; Sriram Ganapathy; Phaneendra K Yalavarthy
Journal:  J Biomed Opt       Date:  2017-11       Impact factor: 3.170

8.  Weight factors for limited angle photoacoustic tomography.

Authors:  G Paltauf; R Nuster; P Burgholzer
Journal:  Phys Med Biol       Date:  2009-05-08       Impact factor: 3.609

9.  Programmable Real-time Clinical Photoacoustic and Ultrasound Imaging System.

Authors:  Jeesu Kim; Sara Park; Yuhan Jung; Sunyeob Chang; Jinyong Park; Yumiao Zhang; Jonathan F Lovell; Chulhong Kim
Journal:  Sci Rep       Date:  2016-10-12       Impact factor: 4.379

10.  Neurovascular Network Explorer 2.0: A Database of 2-Photon Single-Vessel Diameter Measurements from Mouse SI Cortex in Response To Optogenetic Stimulation.

Authors:  Hana Uhlirova; Peifang Tian; Kıvılcım Kılıç; Martin Thunemann; Vishnu B Sridhar; Hauke Bartsch; Anders M Dale; Anna Devor; Payam A Saisan
Journal:  Front Neuroinform       Date:  2017-02-01       Impact factor: 4.081
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  17 in total

1.  Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning.

Authors:  Anthony DiSpirito; Daiwei Li; Tri Vu; Maomao Chen; Dong Zhang; Jianwen Luo; Roarke Horstmeyer; Junjie Yao
Journal:  IEEE Trans Med Imaging       Date:  2021-02-03       Impact factor: 10.048

Review 2.  Photoacoustic-guided surgery from head to toe [Invited].

Authors:  Alycen Wiacek; Muyinatu A Lediju Bell
Journal:  Biomed Opt Express       Date:  2021-03-16       Impact factor: 3.732

3.  Internal-Illumination Photoacoustic Tomography Enhanced by a Graded-Scattering Fiber Diffuser.

Authors:  Mucong Li; Tri Vu; Georgy Sankin; Brenton Winship; Kohldon Boydston; Russell Terry; Pei Zhong; Junjie Yao
Journal:  IEEE Trans Med Imaging       Date:  2020-12-29       Impact factor: 10.048

4.  Tri-modality cavitation mapping in shock wave lithotripsy.

Authors:  Mucong Li; Georgy Sankin; Tri Vu; Junjie Yao; Pei Zhong
Journal:  J Acoust Soc Am       Date:  2021-02       Impact factor: 1.840

5.  3D Monte Carlo simulation of light distribution in mouse brain in quantitative photoacoustic computed tomography.

Authors:  Yuqi Tang; Junjie Yao
Journal:  Quant Imaging Med Surg       Date:  2021-03

Review 6.  Deep Learning in Biomedical Optics.

Authors:  Lei Tian; Brady Hunt; Muyinatu A Lediju Bell; Ji Yi; Jason T Smith; Marien Ochoa; Xavier Intes; Nicholas J Durr
Journal:  Lasers Surg Med       Date:  2021-05-20

7.  Subaperture Processing-Based Adaptive Beamforming for Photoacoustic Imaging.

Authors:  Rashid Al Mukaddim; Rifat Ahmed; Tomy Varghese
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-06-29       Impact factor: 3.267

Review 8.  Sounding out the hidden data: A concise review of deep learning in photoacoustic imaging.

Authors:  Anthony DiSpirito; Tri Vu; Manojit Pramanik; Junjie Yao
Journal:  Exp Biol Med (Maywood)       Date:  2021-03-27

9.  Comparing Deep Learning Frameworks for Photoacoustic Tomography Image Reconstruction.

Authors:  Ko-Tsung Hsu; Steven Guan; Parag V Chitnis
Journal:  Photoacoustics       Date:  2021-05-15

10.  Perspective on fast-evolving photoacoustic tomography.

Authors:  Junjie Yao; Lihong V Wang
Journal:  J Biomed Opt       Date:  2021-06       Impact factor: 3.170
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