Results 11 to 20 of about 257,977 (271)
GNSS troposphere tomography based on two-step reconstructions using GPS observations and COSMIC profiles [PDF]
Annales Geophysicae, 2013 Traditionally, balloon-based radiosonde soundings are used to study the spatial distribution of atmospheric water vapour. However, this approach cannot be frequently employed due to its high cost. In contrast, GPS tomography technique can obtain water
C. Cai, P. Xia, P. Xia, Z. Liu
core +2 more sources
Fast iterative reconstruction for photoacoustic tomography using learned physical model: Theoretical validation. [PDF]
Photoacoustics, 2023 Iterative reconstruction has demonstrated superior performance in medical imaging under compressed, sparse, and limited-view sensing scenarios. However, iterative reconstruction algorithms are slow to converge and rely heavily on hand-crafted parameters ...
Hsu KT, Guan S, Chitnis PV.
europepmc +2 more sources
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
SoftwareX, 2022 The challenge of processing big data effectively and efficiently is crucial for many synchrotron facilities which can collect up to several petabytes of data annually.
Daniil Kazantsev +2 more
doaj +1 more source
A Deep Learning Approach for Rapid and Generalizable Denoising of Photon-Counting Micro-CT Images
Tomography, 2023 Photon-counting CT (PCCT) is powerful for spectral imaging and material decomposition but produces noisy weighted filtered backprojection (wFBP) reconstructions.
Rohan Nadkarni +3 more
doaj +1 more source
Noise-Robust Image Reconstruction Based on Minimizing Extended Class of Power-Divergence Measures
Entropy, 2021 The problem of tomographic image reconstruction can be reduced to an optimization problem of finding unknown pixel values subject to minimizing the difference between the measured and forward projections. Iterative image reconstruction algorithms provide
Ryosuke Kasai +4 more
doaj +1 more source
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
doaj +1 more source
Truncation effect reduction for fast iterative reconstruction in cone-beam CT
BMC Medical Imaging, 2022 Background Iterative reconstruction for cone-beam computed tomography (CBCT) has been applied to improve image quality and reduce radiation dose. In a case where an object’s actual projection is larger than a flat panel detector, CBCT images contain ...
Sorapong Aootaphao +3 more
doaj +1 more source
Increasing the Performance of the Iterative Computed Tomography Image Reconstruction Algorithms
مجلة النهرين للعلوم الهندسية, 2020 Computed tomography (CT) imaging is an important diagnostic tool. CT imaging facilitates the internal rendering of a scanned object by measuring the attenuation of beams of X-ray radiation.
Shimaa Abdulsalam Khazal +1 more
doaj +1 more source
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results
Patterns, 2022 Summary: A recent PNAS paper reveals that several popular deep reconstruction networks are unstable. Specifically, three kinds of instabilities were reported: (1) strong image artefacts from tiny perturbations, (2) small features missed in a deeply ...
Weiwen Wu +9 more
doaj +1 more source