Results 31 to 40 of about 260,393 (187)
Adaptive self‐calibrating iterative GRAPPA reconstruction [PDF]
Magnetic Resonance in Medicine, 2011 AbstractParallel magnetic resonance imaging in k‐space such as generalized auto‐calibrating partially parallel acquisition exploits spatial correlation among neighboring signals over multiple coils in calibration to estimate missing signals in reconstruction.
Suhyung, Park, Jaeseok, Park
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Scientific Reports, 2021 Non-contrast cerebral computed tomography (CT) is frequently performed as a first-line diagnostic approach in patients with suspected ischemic stroke.
Karolin J. Paprottka +8 more
doaj +1 more source
PYRO-NN: Python Reconstruction Operators in Neural Networks [PDF]
, 2019 Purpose: Recently, several attempts were conducted to transfer deep learning to medical image reconstruction. An increasingly number of publications follow the concept of embedding the CT reconstruction as a known operator into a neural network. However,
Maier, Andreas K. +5 more
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Data in Brief, 2017 The data presented in this articles are related to the research article entitled “The feasibility of Forward-projected model-based Iterative Reconstruction SoluTion (FIRST) for coronary 320-row computed tomography angiography: a pilot study” (E. Maeda, N.
Eriko Maeda +7 more
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State of the art: iterative CT reconstruction techniques [PDF]
, 2015 Owing to recent advances in computing power, iterative reconstruction (IR) algorithms have become a clinically viable option in computed tomographic (CT) imaging. Substantial evidence is accumulating about the advantages of IR algorithms over established
Bastarrika, Gorka +9 more
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Usefulness of Model-Based Iterative Reconstruction in Brain CT as Compared With Hybrid Iterative Reconstruction [PDF]
Journal of Computer Assisted Tomography, 2021 Objective The aim of this study was to compare the contrast of gray to white matter between forward-projected model-based iterative reconstruction solution (FIRST) and hybrid iterative reconstruction (IR) by measuring computed tomography value of brain parenchyma.
Hirofumi, Sekino +10 more
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Image quality with iterative reconstruction techniques in CT of the lungs—A phantom study
European Journal of Radiology Open, 2018 Background: Iterative reconstruction techniques for reducing radiation dose and improving image quality in CT have proved to work differently for different patient sizes, dose levels, and anatomical areas.
Hilde Kjernlie Andersen +2 more
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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 ...
Gengel, Erik, Pikovsky, Arkady
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Iterative Forward-Backward Pursuit Algorithm for Compressed Sensing
Journal of Electrical and Computer Engineering, 2016 It has been shown that iterative reweighted strategies will often improve the performance of many sparse reconstruction algorithms. Iterative Framework for Sparse Reconstruction Algorithms (IFSRA) is a recently proposed method which iteratively enhances ...
Feng Wang +3 more
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Tomography, 2022 Background: To compare a model-based iterative reconstruction (MBIR) versus a hybrid iterative reconstruction (HIR) for initial and final Alberta Stroke Program Early Ct Score (ASPECT) scoring in acute ischemic stroke (AIS).
Brieg Dissaux +3 more
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