Results 31 to 40 of about 1,184,230 (332)
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract This study aims to investigate the effects of the position correction of size‐specific dose estimates (SSDE) on patient dose estimation in cone beam computed tomography (CBCT). The relationship between the phantom position and absorbed dose in the right breast was studied using optically stimulated luminescence dosimeters and a simulated human
Hiroyuki Ueno +3 more
wiley +1 more source
Metal Artifact Reduction in CT: Where Are We After Four Decades?
IEEE Access, 2016 Methods to overcome metal artifacts in computed tomography (CT) images have been researched and developed for nearly 40 years. When X-rays pass through a metal object, depending on its size and density, different physical effects will negatively affect ...
Lars Gjesteby +6 more
doaj +1 more source
Psicooncologia, 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
Image reconstruction by linear programming [PDF]
IEEE Transactions on Image Processing, 2005 One way of image denoising is to project a noisy image to the subspace of admissible images derived, for instance, by PCA. However, a major drawback of this method is that all pixels are updated by the projection, even when only a few pixels are corrupted by noise or occlusion.
Tsuda, K., Rätsch, G.
openaire +6 more sources
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
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
Research on Image Reconstruction of Compressed Sensing Based on a Multi-Feature Residual Network
Sensors, 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
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
doaj +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
doaj +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