Results 41 to 50 of about 1,826,590 (358)
ADMM-SVNet: An ADMM-Based Sparse-View CT Reconstruction Network
In clinical medical applications, sparse-view computed tomography (CT) imaging is an effective method for reducing radiation doses. The iterative reconstruction method is usually adopted for sparse-view CT.
Sukai Wang, Xuan Li, Ping Chen
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Reconstruction of Missing Data using Iterative Harmonic Expansion [PDF]
In the cosmic microwave background or galaxy density maps, missing fluctuations in masked regions can be reconstructed from fluctuations in the surrounding unmasked regions if the original fluctuations are sufficiently smooth. One reconstruction method involves applying a harmonic expansion iteratively to fluctuations in the unmasked region.
arxiv +1 more source
Iterative reconstruction of the transducer surface velocity [PDF]
Ultrasound arrays used for medical imaging consist of many elements placed closely together. Ideally, each element vibrates independently. However, because of mechanical coupling, crosstalk between neighboring elements may occur. To quantify the amount of crosstalk, the transducer velocity distribution should be measured.
Alles, EJ, Van Dongen, KWA
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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
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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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GENFIRE: A generalized Fourier iterative reconstruction algorithm for high-resolution 3D imaging [PDF]
Tomography has made a radical impact on diverse fields ranging from the study of 3D atomic arrangements in matter to the study of human health in medicine.
A. Pryor+9 more
semanticscholar +1 more source
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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Iterative Forward-Backward Pursuit Algorithm for Compressed Sensing
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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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
Filtered Back-Projection (FBP) has become an outdated image reconstruction technique in new-generation positron emission tomography (PET)/computed tomography (CT) scanners.
Ashish Kumar Jha+5 more
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