Results 41 to 50 of about 68,766 (311)

ADMM-SVNet: An ADMM-Based Sparse-View CT Reconstruction Network

Photonics, 2022
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
doaj   +1 more source

Data Imputation with Iterative Graph Reconstruction

Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Effective data imputation demands rich latent ``structure" discovery capabilities from ``plain" tabular data. Recent advances in graph neural networks-based data imputation solutions show their structure learning potentials by translating tabular data as bipartite graphs.
Jiajun Zhong, Ning Gui, Weiwei Ye
openaire   +2 more sources

Normalised iterative hard thresholding: guaranteed stability and performance [PDF]

, 2010
Sparse signal models are used in many signal processing applications. The task of estimating the sparsest coefficient vector in these models is a combinatorial problem and efficient, often suboptimal strategies have to be used. Fortunately, under certain
Blumensath, T., Davies, Mike E., Blumensath, Thomas, Davies, M.E.; id_orcid   +3 more
core   +1 more source

Super-resolution of remotely sensed images with variable-pixel linear reconstruction [PDF]

, 2007
This paper describes the development and applications of a super-resolution method, known as Super-Resolution Variable-Pixel Linear Reconstruction. The algorithm works combining different lower resolution images in order to obtain, as a result, a higher ...
Núñez de Murga, Jorge, 1955-, Merino Espasa, María Teresa   +1 more
core   +1 more source

Subjective and objective evaluation of 10–30% dose reduced coronary artery phantom scans reconstructed with Forward projected model-based Iterative Reconstruction SoluTion (FIRST)

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, Nobuo Tomizawa, Shigeaki Kanno, Koichiro Yasaka, Takatoshi Kubo, Kenji Ino, Rumiko Torigoe, Kuni Ohtomo   +7 more
doaj   +1 more source

Impact of dose reduction and iterative model reconstruction on multi-detector CT imaging of the brain in patients with suspected ischemic stroke

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, Karina Kupfer, Isabelle Riederer, Claus Zimmer, Meinrad Beer, Peter B. Noël, Thomas Baum, Jan S. Kirschke, Nico Sollmann   +8 more
doaj   +1 more source

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, Jianping Zhang, Guiling Sun, Tianyu Geng   +3 more
doaj   +1 more source

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, David Völgyes, Anne Catrine Trægde Martinsen   +2 more
doaj   +1 more source

Development and evaluation of QSPECT open-source software for the iterative reconstruction of SPECT images

, 2010
Objective In this study open-source software (QSPECT) suitable for the iterative reconstruction of single-photon emission computed tomography (SPECT) data is presented.
Zotos, P., Loudos, G. K., Papadimitroulas, P., Georgoulias, P., Papadimitroulas, P, Zotos, P, Tsougos, I, Loudos, GK, Tsougos, I., Georgoulias, P   +9 more
core   +1 more source

Iterative CT reconstruction in abdominal low-dose CT used for hybrid SPECT-CT applications: effect on image quality, image noise, detectability, and reader’s confidence

Acta Radiologica Open, 2019
Background Iterative computed tomography (CT) image reconstruction shows high potential for the preservation of image quality in diagnostic CT while reducing patients’ exposure; it has become available for low-dose CT (LD-CT) in high-end hybrid imaging ...
Oliver S Grosser, Juri Ruf, Dennis Kupitz, Damian Czuczwara, David Loewenthal, Markus Thormann, Christian Furth, Jens Ricke, Timm Denecke, Maciej Pech, Michael C Kreissl, Holger Amthauer   +11 more
doaj   +1 more source