Review of low-cost photoacoustic sensing and imaging based on laser diode and light-emitting diode
Photoacoustic tomography (PAT), a promising medical imaging method that combines
optical and ultrasound techniques, has been developing for decades mostly in preclinical …
optical and ultrasound techniques, has been developing for decades mostly in preclinical …
[HTML][HTML] Nonlinear mechanisms in photoacoustics—Powerful tools in photoacoustic imaging
Many nonlinear effects have been discovered and developed in photoacoustic imaging.
These nonlinear mechanisms have been explored for different utilizations, such as …
These nonlinear mechanisms have been explored for different utilizations, such as …
[HTML][HTML] Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo
Conventional reconstruction algorithms (eg, delay-and-sum) used in photoacoustic imaging
(PAI) provide a fast solution while many artifacts remain, especially for limited-view with ill …
(PAI) provide a fast solution while many artifacts remain, especially for limited-view with ill …
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) …
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 …
Quantitative photoacoustic blood oxygenation imaging using deep residual and recurrent neural network
Diffusive light scattering in biological tissue causes a heterogeneous and variable spectrum
of light fluence, which is a significant challenge to predict due to unknown optical properties …
of light fluence, which is a significant challenge to predict due to unknown optical properties …
Lili: liquor quality monitoring based on light signals
In industrialized wine production, brewing and aging are two key steps. These two
processes require the liquors to be bottled for a long time, sometimes more than ten years …
processes require the liquors to be bottled for a long time, sometimes more than ten years …
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 …
Non-invasive monitoring of human health by photoacoustic spectroscopy
For certain diseases, the continuous long-term monitoring of the physiological condition is
crucial. Therefore, non-invasive monitoring methods have attracted widespread attention in …
crucial. Therefore, non-invasive monitoring methods have attracted widespread attention in …
Hybrid multi-wavelength nonlinear photoacoustic sensing and imaging
Multi-wavelength photoacoustic (PA) imaging has been studied extensively to explore the
spectroscopic absorption contrast of biological tissues. To generate strong PA signals, a …
spectroscopic absorption contrast of biological tissues. To generate strong PA signals, a …