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[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
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 …
Fully dense UNet for 2-D sparse photoacoustic tomography artifact removal
Photoacoustic imaging is an emerging imaging modality that is based upon the
photoacoustic effect. In photoacoustic tomography (PAT), the induced acoustic pressure …
photoacoustic effect. In photoacoustic tomography (PAT), the induced acoustic pressure …
Model-based learning for accelerated, limited-view 3-D photoacoustic tomography
Recent advances in deep learning for tomographic reconstructions have shown great
potential to create accurate and high quality images with a considerable speed up. In this …
potential to create accurate and high quality images with a considerable speed up. In this …
Deep learning for photoacoustic tomography from sparse data
The development of fast and accurate image reconstruction algorithms is a central aspect of
computed tomography. In this paper, we investigate this issue for the sparse data problem in …
computed tomography. In this paper, we investigate this issue for the sparse data problem in …
Optoacoustic mesoscopy for biomedicine
Fuelled by innovation, optical microscopy plays a critical role in the life sciences and
medicine, from basic discovery to clinical diagnostics. However, optical microscopy is limited …
medicine, from basic discovery to clinical diagnostics. However, optical microscopy is limited …
Recent advances in photoacoustic contrast agents for in vivo imaging
Photoacoustic imaging (PAI) is a noninvasive hybrid imaging modality offering rich optical
contrast and high depth‐to‐resolution ratio deep‐tissue imaging. Endogenous …
contrast and high depth‐to‐resolution ratio deep‐tissue imaging. Endogenous …
Structural and functional photoacoustic molecular tomography aided by emerging contrast agents
Photoacoustic tomography (PAT) can offer structural, functional and molecular contrasts at
scalable observation level. By ultrasonically overcoming the strong optical scattering, this …
scalable observation level. By ultrasonically overcoming the strong optical scattering, this …
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 …
[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 …