[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 …
Photoacoustic computed tomography for functional human brain imaging
The successes of magnetic resonance imaging and modern optical imaging of human brain
function have stimulated the development of complementary modalities that offer molecular …
function have stimulated the development of complementary modalities that offer molecular …
End-to-end Res-Unet based reconstruction algorithm for photoacoustic imaging
J Feng, J Deng, Z Li, Z Sun, H Dou, K Jia - Biomedical optics express, 2020 - opg.optica.org
Recently, deep neural networks have attracted great attention in photoacoustic imaging
(PAI). In PAI, reconstructing the initial pressure distribution from acquired photoacoustic (PA) …
(PAI). In PAI, reconstructing the initial pressure distribution from acquired photoacoustic (PA) …
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 …
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 …
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 …
Exogenous contrast agents in photoacoustic imaging: an in vivo review for tumor imaging
The field of cancer theranostics has grown rapidly in the past decade and innovative
'biosmart'theranostic materials are being synthesized and studied to combat the fast growth …
'biosmart'theranostic materials are being synthesized and studied to combat the fast growth …