Deep learning in photoacoustic tomography: current approaches and future directions

A Hauptmann, B Cox - Journal of Biomedical Optics, 2020 - spiedigitallibrary.org
Biomedical photoacoustic tomography, which can provide high-resolution 3D soft tissue
images based on optical absorption, has advanced to the stage at which translation from the …

[HTML][HTML] Review of deep learning for photoacoustic imaging

C Yang, H Lan, F Gao, F Gao - Photoacoustics, 2021 - Elsevier
Abstract Machine learning has been developed dramatically and witnessed a lot of
applications in various fields over the past few years. This boom originated in 2009, when a …

Signal and image processing in biomedical photoacoustic imaging: a review

R Manwar, M Zafar, Q Xu - Optics, 2020 - mdpi.com
Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. PAI
works on the principle of electromagnetic energy absorption by the exogenous contrast …

Deep neural network-based sinogram super-resolution and bandwidth enhancement for limited-data photoacoustic tomography

N Awasthi, G Jain, SK Kalva… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits
of optical contrast at ultrasonic resolution. Analytical reconstruction algorithms for …

Deep learning in photoacoustic imaging: a review

H Deng, H Qiao, Q Dai, C Ma - Journal of Biomedical Optics, 2021 - spiedigitallibrary.org
Significance: Photoacoustic (PA) imaging can provide structural, functional, and molecular
information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal …

Deep learning-powered biomedical photoacoustic imaging

X Wei, T Feng, Q Huang, Q Chen, C Zuo, H Ma - Neurocomputing, 2024 - Elsevier
Photoacoustic Imaging (PAI) is an emerging hybrid imaging modality that combines optical
imaging and ultrasound imaging, offering advantages such as high resolution, strong …

Deep learning methods hold promise for light fluence compensation in three-dimensional optoacoustic imaging

A Madasamy, V Gujrati… - Journal of biomedical …, 2022 - spiedigitallibrary.org
Significance: Quantitative optoacoustic imaging (QOAI) continues to be a challenge due to
the influence of nonlinear optical fluence distribution, which distorts the optoacoustic image …

Multi-threshold attention u-net (mtau) based model for multimodal brain tumor segmentation in mri scans

N Awasthi, R Pardasani, S Gupta - … Stroke and Traumatic Brain Injuries: 6th …, 2021 - Springer
Gliomas are one of the most frequent brain tumors and are classified into high grade and
low grade gliomas. The segmentation of various regions such as tumor core, enhancing …

AS-Net: fast photoacoustic reconstruction with multi-feature fusion from sparse data

M Guo, H Lan, C Yang, J Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Photoacoustic (PA) imaging is a biomedical imaging modality capable of acquiring high-
contrast images of optical absorption at depths much greater than traditional optical imaging …

Photoacoustic imaging with limited sampling: a review of machine learning approaches

R Wang, J Zhu, J **a, J Yao, J Shi, C Li - Biomedical Optics Express, 2023 - opg.optica.org
Photoacoustic imaging combines high optical absorption contrast and deep acoustic
penetration, and can reveal structural, molecular, and functional information about biological …