Compressed sensing for photoacoustic computed tomography based on an untrained neural network with a shape prior

H Lan, J Zhang, C Yang, F Gao - Biomedical optics express, 2021 - opg.optica.org
Photoacoustic (PA) computed tomography (PACT) shows great potential in various
preclinical and clinical applications. A great number of measurements are the premise that …

[HTML][HTML] A deep learning approach for the photoacoustic tomography recovery from undersampled measurements

H Shahid, A Khalid, X Liu, M Irfan, D Ta - Frontiers in Neuroscience, 2021 - frontiersin.org
Photoacoustic tomography (PAT) is a propitious imaging modality, which is helpful for
biomedical study. However, fast PAT imaging and denoising is an exigent task in medical …

Convolutional sparse coding for compressed sensing photoacoustic CT reconstruction with partially known support

Z Qin, Y Ma, L Ma, G Liu, M Sun - Biomedical Optics Express, 2024 - opg.optica.org
In photoacoustic tomography (PAT), imaging speed is an essential metric that is restricted by
the pulse laser repetition rate and the number of channels on the data acquisition card …

Sparse-sampling photoacoustic computed tomography: deep learning vs. compressed sensing

X Zhang, F Ma, Y Zhang, J Wang, C Liu… - … Signal Processing and …, 2022 - Elsevier
Sparse-sampling photoacoustic computed tomography (SS-PACT) is an effective high-
speed and low-cost modality in photoacoustic imaging. For recovering high-quality images …

Full-view photoacoustic tomography using asymmetric distributed sensors optimized with compressed sensing method

M Cao, J Yuan, S Du, G Xu, X Wang, PL Carson… - … Signal Processing and …, 2015 - Elsevier
Photoacoustic tomography (PAT) is an effective optical biomedical imaging method
characterized with non-ionizing and noninvasive, presenting good soft tissue contrast and …

NETT regularization for compressed sensing photoacoustic tomography

S Antholzer, J Schwab… - … and Sensing 2019, 2019 - spiedigitallibrary.org
We discuss several methods for image reconstruction in compressed sensing photoacoustic
tomography (CS-PAT). In particular, we apply the deep learning method of [H. Li, J. Schwab …

Compressed sensing in photoacoustic tomography in vivo

Z Guo, C Li, L Song, LV Wang - Journal of biomedical optics, 2010 - spiedigitallibrary.org
The data acquisition speed in photoacoustic computed tomography (PACT) is limited by the
laser repetition rate and the number of parallel ultrasound detecting channels …

Deep learning adapted acceleration for limited-view photoacoustic image reconstruction

H Lan, J Gong, F Gao - Optics Letters, 2022 - opg.optica.org
The limited-view issue can cause a low-quality image in photoacoustic (PA) computed
tomography due to the limitation of geometric condition. The model-based method is used to …

[HTML][HTML] Adaptive machine learning method for photoacoustic computed tomography based on sparse array sensor data

R Wang, J Zhu, Y Meng, X Wang, R Chen… - Computer Methods and …, 2023 - Elsevier
Background and objective Photoacoustic computed tomography (PACT) is a non-invasive
biomedical imaging technology that has developed rapidly in recent decades, especially …

Deep Learning Versus -Minimization for Compressed Sensing Photoacoustic Tomography

S Antholzer, J Schwab… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
We investigate compressed sensing (CS) techniques for reducing the number of
measurements in photoacoustic tomography (PAT). High resolution imaging from CS data …