Results 21 to 30 of about 298,685 (261)
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
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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
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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
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Image reconstruction in optical interferometry [PDF]
IEEE Signal Processing Magazine, 2010 accepted for publication in IEEE Signal Processing ...
Thiébaut, Eric +1 more
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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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Algorithms, 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
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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
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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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Data in Brief, 2017 This article describes a quantitative evaluation of visualizing small vessels using several image reconstruction methods in computed tomography. Simulated vessels with diameters of 1–6 mm made by 3D printer was scanned using 320-row detector computed ...
Toru Higaki +7 more
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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
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