Results 21 to 30 of about 1,957,229 (358)
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
Iterative initial condition reconstruction [PDF]
Physical Review D, 2017 Motivated by recent developments in perturbative calculations of the nonlinear evolution of large-scale structure, we present an iterative algorithm to reconstruct the initial conditions in a given volume starting from the dark matter distribution in real space.
Tobias Baldauf +2 more
openaire +3 more sources
Is Iterative Reconstruction Ready for MDCT? [PDF]
Journal of the American College of Radiology, 2009 Although the very first computed tomographic scanners used the iterative algebraic reconstruction technique, the filtered back-projection (FBP) method soon became the gold standard for computed tomographic reconstruction. Image quality has dramatically improved over the past 30 years thanks to advances in x-ray tubes, detector technologies, and overall
Jingyan Xu +2 more
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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
Phase Reconstruction with Iterated Hilbert Transforms [PDF]
, 2021 We present a study dealing with a novel phase reconstruction method based on iterated Hilbert transform embeddings. We show results for the Stuart-Landau oscillator observed by generic observables. The benefits for reconstruction of the phase response curve a presented and the method is applied in a setting where the observed system is pertubred by ...
Erik Gengel +3 more
openaire +3 more sources
Korean Journal of Radiology, 2020 Objective To assess the feasibility of applying a deep learning-based denoising technique to coronary CT angiography (CCTA) along with iterative reconstruction for additional noise reduction.
J. Hong +4 more
semanticscholar +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
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
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