Deep learning in photoacoustic tomography: current approaches and future directions
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 …
images based on optical absorption, has advanced to the stage at which translation from the …
[HTML][HTML] Review of deep learning for photoacoustic imaging
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 …
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
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 …
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
Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits
of optical contrast at ultrasonic resolution. Analytical reconstruction algorithms for …
of optical contrast at ultrasonic resolution. Analytical reconstruction algorithms for …
Deep learning in photoacoustic imaging: a review
Significance: Photoacoustic (PA) imaging can provide structural, functional, and molecular
information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal …
information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal …
Deep learning-powered biomedical photoacoustic imaging
Photoacoustic Imaging (PAI) is an emerging hybrid imaging modality that combines optical
imaging and ultrasound imaging, offering advantages such as high resolution, strong …
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 …
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
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 …
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
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 …
contrast images of optical absorption at depths much greater than traditional optical imaging …
Photoacoustic imaging with limited sampling: a review of machine learning approaches
Photoacoustic imaging combines high optical absorption contrast and deep acoustic
penetration, and can reveal structural, molecular, and functional information about biological …
penetration, and can reveal structural, molecular, and functional information about biological …