Results 51 to 60 of about 7,799,574 (379)
Journal of Integrative Neuroscience, 2021 To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative ...
Chuluunbaatar Otgonbaatar +5 more
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Kernel-based Image Reconstruction from Scattered Radon Data [PDF]
, 2016 Computerized tomography requires suitable numerical methods for the approximation of a bivariate function f from a finite set of discrete Radon data, each of whose data samples represents one line integral of f .
DE MARCHI, Stefano +2 more
core +1 more source
Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks
IEEE Signal Processing Magazine, 2020 Image reconstruction from undersampled k-space data has been playing an important role in fast magnetic resonance imaging (MRI). Recently, deep learning has demonstrated tremendous success in various fields and also shown potential in significantly ...
D. Liang, Jing Cheng, Ziwen Ke, L. Ying
semanticscholar +1 more source
Guided Image Filtering Reconstruction Based on Total Variation and Prior Image for Limited-Angle CT
IEEE Access, 2020 For limited-angle computed tomography (CT) image reconstruction, the classical total variation (TV) based algorithms suffer from the limited-angle artifacts, because TV only used the gradient information of the image.
Zhaoqiang Shen +3 more
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Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction [PDF]
, 2022 Non-Cartesian sampling with subspace-constrained image reconstruction is a popular approach to dynamic MRI, but slow iterative reconstruction limits its clinical application. Data-consistent (DC) deep learning can accelerate reconstruction with good image quality, but has not been formulated for non-Cartesian subspace imaging. In this study, we propose
arxiv +1 more source
Acoustic Reconstruction for Photothermal Imaging [PDF]
Bioengineering, 2018 Pulsed illumination of a sample, e.g., of a biological tissue, causes a sudden temperature increase of light absorbing structures, such as blood vessels, which results in an outgoing acoustic wave, as well as heat diffusion, of the absorbed energy. Both of the signals, pressure and temperature, can be measured at the sample surface and are used to ...
Peter Burgholzer +2 more
openaire +3 more sources
Overview of Underwater 3D Reconstruction Technology Based on Optical Images
Journal of Marine Science and Engineering, 2023 At present, 3D reconstruction technology is being gradually applied to underwater scenes and has become a hot research direction that is vital to human ocean exploration and development.
Kai Hu +6 more
doaj +1 more source
Guided filter-based multi-scale super-resolution reconstruction
CAAI Transactions on Intelligence Technology, 2020 The learning-based super-resolution reconstruction method inputs a low-resolution image into a network, and learns a non-linear mapping relationship between low-resolution and high-resolution through the network.
Xiaomei Feng +3 more
doaj +1 more source
Discrete Imaging Models for Three-Dimensional Optoacoustic Tomography using Radially Symmetric Expansion Functions [PDF]
, 2014 Optoacoustic tomography (OAT), also known as photoacoustic tomography, is an emerging computed biomedical imaging modality that exploits optical contrast and ultrasonic detection principles.
Er Oraevsky +5 more
core +1 more source
Filtering in SPECT Image Reconstruction [PDF]
International Journal of Biomedical Imaging, 2011 Single photon emission computed tomography (SPECT) imaging is widely implemented in nuclear medicine as its clinical role in the diagnosis and management of several diseases is, many times, very helpful (e.g., myocardium perfusion imaging). The quality of SPECT images are degraded by several factors such as noise because of the limited number of counts,
Maria Lyra, Agapi Ploussi
openaire +4 more sources