Results 21 to 30 of about 257,977 (271)

Model-Driven Enhanced Analytic Learned Iterative Shrinkage Threshold Algorithm

IEEE Access, 2022
The application of deep learning in compressed sensing reconstruction has achieved some excellent results. The deep neural network based on iterative algorithm can not only reflect the excellent performance of deep learning, but also reflect the ...
Jun Li, Liyang Shang, Bo He, Wenjing Zheng, Fei Lin   +4 more
doaj   +1 more source

An Accelerated Iterative Cone Beam Computed Tomography Image Reconstruction Approach

مجلة النهرين للعلوم الهندسية, 2019
Cone-beam computed tomography (CBCT) is an indispensable method that reconstructs three dimensional (3D) images. CBCT employs a mathematical technique of reconstruction, which reveals the anatomy of the patient’s body through the measurements of ...
Shimaa Abdulsalam Khazal, Mohammed Hussein Ali   +1 more
doaj   +1 more source

Fast Parallel Imaging Reconstruction Method Based on SIDWT and Iterative Self-Consistency

Shanghai Jiaotong Daxue xuebao, 2023
To improve the reconstruction speed of parallel magnetic resonance imaging, an efficient reconstruction method named fSIDWT-SPIRiT is proposed based on shift-invariant discrete wavelets transform (SIDWT) and the iterative self-consistent parallel imaging
DUAN Jizhong, QIAN Qingqing
doaj   +1 more source

The Impact of Iterative Reconstruction on Computed Tomography Radiation Dosimetry: Evaluation in a Routine Clinical Setting. [PDF]

PLoS ONE, 2015
To evaluate the effect of introduction of iterative reconstruction as a mandated software upgrade on radiation dosimetry in routine clinical practice over a range of computed tomography examinations.Random samples of scanning data were extracted from a ...
Rachael E Moorin, David A J Gibson, Rene K Forsyth, Richard Fox   +3 more
doaj   +1 more source

Low-dose CT Reconstruction Algorithm Based on Iterative Asymmetric Blind Spot Network [PDF]

Jisuanji kexue, 2023
Aiming at the problem that the method of low-dose CT reconstruction by machine learning method relies too much on pairwise legends,a low-dose CT reconstruction algorithm based on iterative asymmetric blind spot network is proposed.Firstly,low-dose CT is ...
GUO Guangxing, YIN Guimei, LIU Chenxu, DUAN Yonghong, QIANG Yan, WANG Yanfei, WANG Tao
doaj   +1 more source

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

Approximate Message Passing Algorithm for Nonconvex Regularization

IEEE Access, 2019
In this paper, we study the sparse signal reconstruction with nonconvex regularization, mainly focusing on two popular nonconvex regularization methods, minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD).
Hui Zhang, Hai Zhang, Yong Liang, Zi-Yi Yang, Yanqiong Ren   +4 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

Optimizing computed tomography image reconstruction for focal hepatic lesions: Deep learning image reconstruction vs iterative reconstruction. [PDF]

Heliyon
Background: Deep learning image reconstruction (DLIR) is a novel computed tomography (CT) reconstruction technique that minimizes image noise, enhances image quality, and enables radiation dose reduction.
Jaruvongvanich V, Muangsomboon K, Teerasamit W, Suvannarerg V, Komoltri C, Thammakittiphan S, Lornimitdee W, Ritsamrej W, Chaisue P, Pongnapang N, Apisarnthanarak P.   +10 more
europepmc   +2 more sources

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