Results 21 to 30 of about 1,008,663 (311)

Stability of Image-Reconstruction Algorithms

open access: yesIEEE Transactions on Computational Imaging, 2023
Robustness and stability of image-reconstruction algorithms have recently come under scrutiny. Their importance to medical imaging cannot be overstated. We review the known results for the topical variational regularization strategies ($\ell_2$ and $\ell_1$ regularization) and present novel stability results for $\ell_p$-regularized linear inverse ...
Pol del Aguila Pla   +2 more
openaire   +2 more sources

Body Image and Body Image Quality of Life in women with mastectomy. Comparison of women with immediate reconstruction, delayed reconstruction or without reconstruction

open access: yesPsicooncologia, 2019
Aim: Analyze Body Image and its influence on Quality of Life in women who have undergone mastectomy as part of the treatment for breast cancer, with immediate reconstruction, delayed reconstruction or mastectomy without breast reconstruction. Method: The
Andrea Cecilia Gargantini Gargantini   +1 more
doaj   +1 more source

Research on Image Reconstruction of Compressed Sensing Based on a Multi-Feature Residual Network

open access: yesSensors, 2020
In order to solve the problem of how to quickly and accurately obtain crop images during crop growth monitoring, this paper proposes a deep compressed sensing image reconstruction method based on a multi-feature residual network.
Ruili Nan   +3 more
doaj   +1 more source

Guided Image Filtering Reconstruction Based on Total Variation and Prior Image for Limited-Angle CT

open access: yesIEEE 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
doaj   +1 more source

Improvement of depiction of the intracranial arteries on brain CT angiography using deep learning reconstruction

open access: yesJournal 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
doaj   +1 more source

Kernel-based Image Reconstruction from Scattered Radon Data [PDF]

open access: yes, 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

Acoustic Reconstruction for Photothermal Imaging [PDF]

open access: yesBioengineering, 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

Guided filter-based multi-scale super-resolution reconstruction

open access: yesCAAI 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

A Novel Blind Restoration and Reconstruction Approach for CT Images Based on Sparse Representation and Hierarchical Bayesian-MAP

open access: yesAlgorithms, 2019
Computed tomography (CT) image reconstruction and restoration are very important in medical image processing, and are associated together to be an inverse problem.
Yunshan Sun   +3 more
doaj   +1 more source

Overview of Underwater 3D Reconstruction Technology Based on Optical Images

open access: yesJournal 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

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