3-D photoacoustic tomography reconstruction with deep learning for vasculature imaging

Steven Guan; Parag V. Chitnis

doi:10.1121/1.5146756

3-D photoacoustic tomography reconstruction with deep learning for vasculature imaging

The Journal of the Acoustical Society of America ◽

10.1121/1.5146756 ◽

2020 ◽

Vol 148 (4) ◽

pp. 2448-2448

Author(s):

Steven Guan ◽

Parag V. Chitnis

Keyword(s):

Deep Learning ◽

Photoacoustic Tomography ◽

Tomography Reconstruction

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Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements

2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S) ◽

10.1109/mlhpcai4s51975.2020.00017 ◽

2020 ◽

Author(s):

Ziling Wu ◽

Tekin Bicer ◽

Zhengchun Liu ◽

Vincent De Andrade ◽

Yunhui Zhu ◽

...

Keyword(s):

Deep Learning ◽

Low Dose ◽

Tomography Reconstruction ◽

Dose Measurements

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Deep learning based multi-transducer photoacoustic tomography imaging without radius calibration

Optics Letters ◽

10.1364/ol.434513 ◽

2021 ◽

Author(s):

Praveenbalaji Rajendran ◽

Manojit Pramanik

Keyword(s):

Deep Learning ◽

Photoacoustic Tomography ◽

Tomography Imaging

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Quantitative photoacoustic tomography: reconstruction of optical absorption coefficient from experimental data

10.1364/bio.2006.sh71 ◽

2006 ◽

Author(s):

Zhen Yuan ◽

Huabei Jiang

Keyword(s):

Experimental Data ◽

Optical Absorption ◽

Absorption Coefficient ◽

Optical Absorption Coefficient ◽

Photoacoustic Tomography ◽

Tomography Reconstruction

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Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction

Medical Imaging 2019: Image Processing ◽

10.1117/12.2512980 ◽

2019 ◽

Cited By ~ 1

Author(s):

Frederic Madesta ◽

Tobias Gauer ◽

Thilo Sentker ◽

René Werner

Keyword(s):

Computed Tomography ◽

Deep Learning ◽

Cone Beam Computed Tomography ◽

Cone Beam ◽

Self Consistent ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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Accelerated Photoacoustic Tomography Reconstruction via Recurrent Inference Machines

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2019.8856290 ◽

2019 ◽

Author(s):

Changchun Yang ◽

Hengrong Lan ◽

Fei Gao

Keyword(s):

Photoacoustic Tomography ◽

Tomography Reconstruction

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A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography

Computerized Medical Imaging and Graphics ◽

10.1016/j.compmedimag.2020.101720 ◽

2020 ◽

Vol 84 ◽

pp. 101720 ◽

Cited By ~ 4

Author(s):

Huijuan Zhang ◽

Hongyu LI ◽

Nikhila Nyayapathi ◽

Depeng Wang ◽

Alisa Le ◽

...

Keyword(s):

Deep Learning ◽

Photoacoustic Tomography ◽

Learning Network ◽

Sampling Artifacts ◽

Under Sampling ◽

Deep Learning Network

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Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo

Photoacoustics ◽

10.1016/j.pacs.2020.100197 ◽

2020 ◽

Vol 20 ◽

pp. 100197 ◽

Cited By ~ 4

Author(s):

Hengrong Lan ◽

Daohuai Jiang ◽

Changchun Yang ◽

Feng Gao ◽

Fei Gao

Keyword(s):

Deep Learning ◽

Image Reconstruction ◽

Photoacoustic Tomography

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Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach

Novel Optical Systems, Methods, and Applications XXII ◽

10.1117/12.2529984 ◽

2019 ◽

Author(s):

Hongming Shan ◽

Christoper Wiedeman ◽

Ge Wang ◽

Yang Yang

Keyword(s):

Deep Learning ◽

Sound Speed ◽

Initial Pressure ◽

Photoacoustic Tomography ◽

Learning Approach ◽

Simultaneous Reconstruction

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Combination Strategy of Deep Learning and Direct Back Projection for High-efficiency Computed Tomography Reconstruction

Proceedings of the Third International Symposium on Image Computing and Digital Medicine - ISICDM 2019 ◽

10.1145/3364836.3364896 ◽

2019 ◽

Cited By ~ 1

Author(s):

Yu Shi ◽

Fanzhen Meng ◽

Ye Mao ◽

Chenfeng Li ◽

Shouping Zhu

Keyword(s):

Computed Tomography ◽

Deep Learning ◽

High Efficiency ◽

Back Projection ◽

Combination Strategy ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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Comparing Deep Learning Frameworks for Photoacoustic Tomography Image Reconstruction

Photoacoustics ◽

10.1016/j.pacs.2021.100271 ◽

2021 ◽

pp. 100271

Author(s):

Ko-Tsung Hsu ◽

Steven Guan ◽

Parag V. Chitnis

Keyword(s):

Deep Learning ◽

Image Reconstruction ◽

Photoacoustic Tomography ◽

Tomography Image ◽

Learning Frameworks

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