[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 …
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 …
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 …
[HTML][HTML] Sparse-view reconstruction for photoacoustic tomography combining diffusion model with model-based iteration
X Song, G Wang, W Zhong, K Guo, Z Li, X Liu, J Dong… - Photoacoustics, 2023 - Elsevier
As a non-invasive hybrid biomedical imaging technology, photoacoustic tomography
combines high contrast of optical imaging and high penetration of acoustic imaging …
combines high contrast of optical imaging and high penetration of acoustic imaging …
Learned regularization for image reconstruction in sparse-view photoacoustic tomography
Constrained data acquisitions, such as sparse view measurements, are sometimes used in
photoacoustic computed tomography (PACT) to accelerate data acquisition. However, it is …
photoacoustic computed tomography (PACT) to accelerate data acquisition. However, it is …
Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties
Conventional photoacoustic imaging may suffer from the limited view and bandwidth of
ultrasound transducers. A deep learning approach is proposed to handle these problems …
ultrasound transducers. A deep learning approach is proposed to handle these problems …