[HTML][HTML] Deep learning for biomedical photoacoustic imaging: A review
Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables
spatially resolved imaging of optical tissue properties up to several centimeters deep in …
spatially resolved imaging of optical tissue properties up to several centimeters deep in …
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 …
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 …
A Deep Learning-Based Model That Reduces Speed of Sound Aberrations for Improved In Vivo Photoacoustic Imaging
Photoacoustic imaging (PAI) has attracted great attention as a medical imaging method.
Typically, photoacoustic (PA) images are reconstructed via beamforming, but many factors …
Typically, photoacoustic (PA) images are reconstructed via beamforming, but many factors …
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 …
Photoacoustic imaging aided with deep learning: a review
Photoacoustic imaging (PAI) is an emerging hybrid imaging modality integrating the benefits
of both optical and ultrasound imaging. Although PAI exhibits superior imaging capabilities …
of both optical and ultrasound imaging. Although PAI exhibits superior imaging capabilities …
Masked cross-domain self-supervised deep learning framework for photoacoustic computed tomography reconstruction
Accurate image reconstruction is crucial for photoacoustic (PA) computed tomography
(PACT). Recently, deep learning has been used to reconstruct PA images with a supervised …
(PACT). Recently, deep learning has been used to reconstruct PA images with a supervised …
Ultrasound brain tomography: comparison of deep learning and deterministic methods
M Soleimani, T Rymarczyk… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The general purpose of this document is to develop a lightweight, portable ultrasound
computer tomography (USCT) system that enables noninvasive imaging of the inside of the …
computer tomography (USCT) system that enables noninvasive imaging of the inside of the …
Image reconstruction from photoacoustic projections
Photoacoustic computed tomography (PACT) is a rapidly developing biomedical imaging
modality and has attracted substantial attention in recent years. Image reconstruction from …
modality and has attracted substantial attention in recent years. Image reconstruction from …
Advanced image post-processing methods for photoacoustic tomography: A review
Photoacoustic tomography (PAT) is a promising imaging technique that utilizes the detection
of light-induced acoustic waves for both morphological and functional biomedical imaging …
of light-induced acoustic waves for both morphological and functional biomedical imaging …