[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 …
[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 …
Learned spectral decoloring enables photoacoustic oximetry
The ability of photoacoustic imaging to measure functional tissue properties, such as blood
oxygenation sO 2, enables a wide variety of possible applications. sO 2 can be computed …
oxygenation sO 2, enables a wide variety of possible applications. sO 2 can be computed …
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 …
Toward accurate quantitative photoacoustic imaging: learning vascular blood oxygen saturation in three dimensions
Significance: Two-dimensional (2-D) fully convolutional neural networks have been shown
capable of producing maps of sO2 from 2-D simulated images of simple tissue models …
capable of producing maps of sO2 from 2-D simulated images of simple tissue models …
Recent advances in deep-learning-enhanced photoacoustic imaging
Photoacoustic imaging (PAI), recognized as a promising biomedical imaging modality for
preclinical and clinical studies, uniquely combines the advantages of optical and ultrasound …
preclinical and clinical studies, uniquely combines the advantages of optical and ultrasound …
Role of blood oxygenation saturation in ovarian cancer diagnosis using multi‐spectral photoacoustic tomography
In photoacoustic tomography (PAT), a tunable laser typically illuminates the tissue at
multiple wavelengths, and the received photoacoustic waves are used to form functional …
multiple wavelengths, and the received photoacoustic waves are used to form functional …
Artifact removal in photoacoustic tomography with an unsupervised method
M Lu, X Liu, C Liu, B Li, W Gu, J Jiang… - Biomedical optics …, 2021 - opg.optica.org
Photoacoustic tomography (PAT) is an emerging biomedical imaging technology that can
realize high contrast imaging with a penetration depth of the acoustic. Recently, deep …
realize high contrast imaging with a penetration depth of the acoustic. Recently, deep …