A survey of computational frameworks for solving the acoustic inverse problem in three-dimensional photoacoustic computed tomography
Photoacoustic computed tomography (PACT), also known as optoacoustic tomography, is
an emerging imaging technique that holds great promise for biomedical imaging. PACT is a …
an emerging imaging technique that holds great promise for biomedical imaging. PACT is a …
Image reconstruction in dynamic inverse problems with temporal models
This paper surveys variational approaches for image reconstruction in dynamic inverse
problems. Emphasis is on variational methods that rely on parametrized temporal models …
problems. Emphasis is on variational methods that rely on parametrized temporal models …
Fast electron tomography for nanomaterials
W Albrecht, S Bals - The Journal of Physical Chemistry C, 2020 - ACS Publications
Electron tomography (ET) has become a well-established technique to visualize
nanomaterials in three dimensions. A vast richness in information can be gained by ET, but …
nanomaterials in three dimensions. A vast richness in information can be gained by ET, but …
Bayesian imaging with data-driven priors encoded by neural networks
M Holden, M Pereyra, KC Zygalakis - SIAM Journal on Imaging Sciences, 2022 - SIAM
This paper proposes a new methodology for performing Bayesian inference in imaging
inverse problems where the prior knowledge is available in the form of training data …
inverse problems where the prior knowledge is available in the form of training data …
Accelerating proximal Markov chain Monte Carlo by using an explicit stabilized method
We present a highly efficient proximal Markov chain Monte Carlo methodology to perform
Bayesian computation in imaging problems. Similarly to previous proximal Monte Carlo …
Bayesian computation in imaging problems. Similarly to previous proximal Monte Carlo …
Task adapted reconstruction for inverse problems
The paper considers the problem of performing a post-processing task defined on a model
parameter that is only observed indirectly through noisy data in an ill-posed inverse …
parameter that is only observed indirectly through noisy data in an ill-posed inverse …
[HTML][HTML] Adaptive enhancement of acoustic resolution photoacoustic microscopy imaging via deep CNN prior
Acoustic resolution photoacoustic microscopy (AR-PAM) is a promising medical imaging
modality that can be employed for deep bio-tissue imaging. However, its relatively low …
modality that can be employed for deep bio-tissue imaging. However, its relatively low …
Sparse-sampling photoacoustic computed tomography: deep learning vs. compressed sensing
X Zhang, F Ma, Y Zhang, J Wang, C Liu… - … Signal Processing and …, 2022 - Elsevier
Sparse-sampling photoacoustic computed tomography (SS-PACT) is an effective high-
speed and low-cost modality in photoacoustic imaging. For recovering high-quality images …
speed and low-cost modality in photoacoustic imaging. For recovering high-quality images …
Single-pixel camera photoacoustic tomography
Since it was first demonstrated more than a decade ago, the single-pixel camera concept
has been used in numerous applications in which it is necessary or advantageous to reduce …
has been used in numerous applications in which it is necessary or advantageous to reduce …
Compressed sensing plus motion (CS+ M): a new perspective for improving undersampled MR image reconstruction
AI Aviles-Rivero, N Debroux, G Williams… - Medical Image …, 2021 - Elsevier
We address the problem of reconstructing high quality images from undersampled MRI data.
This is a challenging task due to the highly ill-posed nature of the problem. In particular, in …
This is a challenging task due to the highly ill-posed nature of the problem. In particular, in …