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A practical guide for model-based reconstruction in optoacoustic imaging
XL Deán-Ben, D Razansky - Frontiers in Physics, 2022 - frontiersin.org
Optoacoustic (OA, photoacoustic) imaging capitalizes on the low scattering of ultrasound
within biological tissues to provide optical absorption-based contrast with high resolution at …
within biological tissues to provide optical absorption-based contrast with high resolution at …
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 …
Enhanced medical diagnosis for dOCTors: a perspective of optical coherence tomography
Significance: After three decades, more than 75,000 publications, tens of companies being
involved in its commercialization, and a global market perspective of about USD 1.5 billion …
involved in its commercialization, and a global market perspective of about USD 1.5 billion …
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 …
A partially-learned algorithm for joint photo-acoustic reconstruction and segmentation
In an inhomogeneously illuminated photoacoustic image, important information like vascular
geometry is not readily available, when only the initial pressure is reconstructed. To obtain …
geometry is not readily available, when only the initial pressure is reconstructed. To obtain …
Masked cross-domain self-supervised deep learning framework for photoacoustic computed tomography reconstruction
Accurate image reconstruction is crucial for photoacoustic (PA) computed tomography
(PACT). Recently, deep learning has been used to reconstruct PA images with a supervised …
(PACT). Recently, deep learning has been used to reconstruct PA images with a supervised …
Photoacoustic imaging in tissue engineering and regenerative medicine
B Shrestha, F DeLuna, MA Anastasio… - … Engineering Part B …, 2020 - liebertpub.com
Several imaging modalities are available for investigation of the morphological, functional,
and molecular features of engineered tissues in small animal models. While research in …
and molecular features of engineered tissues in small animal models. While research in …
Broadband model‐based optoacoustic mesoscopy enables deep‐tissue imaging beyond the acoustic diffraction limit
Optoacoustic mesoscopy (OAM) retrieves anatomical and functional contrast in vivo at
depths not resolvable with optical microscopy. Recent progress on reconstruction algorithms …
depths not resolvable with optical microscopy. Recent progress on reconstruction algorithms …
On regularization via frame decompositions with applications in tomography
In this paper, we consider linear ill-posed problems in Hilbert spaces and their regularization
via frame decompositions, which are generalizations of the singular-value decomposition. In …
via frame decompositions, which are generalizations of the singular-value decomposition. In …
[HTML][HTML] A nonlinear multigrid method for the parameter identification problem of partial differential equations with constraints
In this paper, we consider the parameter identification problem of partial differential
equations with constraints. A nonlinear multigrid method is introduced to the process of …
equations with constraints. A nonlinear multigrid method is introduced to the process of …