Compressed sensing for photoacoustic computed tomography based on an untrained neural network with a shape prior
Photoacoustic (PA) computed tomography (PACT) shows great potential in various
preclinical and clinical applications. A great number of measurements are the premise that …
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 …
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 …
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 …
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
Photoacoustic tomography (PAT) is an effective optical biomedical imaging method
characterized with non-ionizing and noninvasive, presenting good soft tissue contrast and …
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 …
tomography (CS-PAT). In particular, we apply the deep learning method of [H. Li, J. Schwab …
Compressed sensing in photoacoustic tomography in vivo
The data acquisition speed in photoacoustic computed tomography (PACT) is limited by the
laser repetition rate and the number of parallel ultrasound detecting channels …
laser repetition rate and the number of parallel ultrasound detecting channels …
Deep learning adapted acceleration for limited-view photoacoustic image reconstruction
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 …
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 …
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 …
measurements in photoacoustic tomography (PAT). High resolution imaging from CS data …