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 …
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 …
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 …
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 …
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography
A Hauptmann, J Poimala - arXiv preprint arXiv:2304.01963, 2023 - arxiv.org
Learned iterative reconstructions hold great promise to accelerate tomographic imaging with
empirical robustness to model perturbations. Nevertheless, an adoption for photoacoustic …
empirical robustness to model perturbations. Nevertheless, an adoption for photoacoustic …
Tomographic imaging with an ultrasound and LED-based photoacoustic system
Pulsed lasers in photoacoustic tomography systems are expensive, which limit their use to a
few clinics and small animal labs. We present a method to realize tomographic ultrasound …
few clinics and small animal labs. We present a method to realize tomographic ultrasound …
Approximate k-space models and deep learning for fast photoacoustic reconstruction
We present a framework for accelerated iterative reconstructions using a fast and
approximate forward model that is based on k-space methods for photoacoustic …
approximate forward model that is based on k-space methods for photoacoustic …
Real-time photoacoustic projection imaging using deep learning
Photoacoustic tomography (PAT) is an emerging and non-invasive hybrid imaging modality
for visualizing light absorbing structures in biological tissue. The recently invented PAT …
for visualizing light absorbing structures in biological tissue. The recently invented PAT …
Faster PET reconstruction with non-smooth priors by randomization and preconditioning
MJ Ehrhardt, P Markiewicz… - Physics in Medicine & …, 2019 - iopscience.iop.org
Uncompressed clinical data from modern positron emission tomography (PET) scanners are
very large, exceeding 350 million data points (projection bins). The last decades have seen …
very large, exceeding 350 million data points (projection bins). The last decades have seen …
Enhancing compressed sensing 4D photoacoustic tomography by simultaneous motion estimation
A crucial limitation of current high-resolution 3D photoacoustic tomography (PAT) devices
that employ sequential scanning is their long acquisition time. In previous work, we …
that employ sequential scanning is their long acquisition time. In previous work, we …