Results 71 to 80 of about 260,393 (187)

High resolution image reconstruction with constrained, total-variation minimization

, 2011
This work is concerned with applying iterative image reconstruction, based on constrained total-variation minimization, to low-intensity X-ray CT systems that have a high sampling rate.
Chartrand, Rick, Duchin, Yuval, Pan, Xiaochuan, Sidky, Emil Y., Ullberg, Christer   +4 more
core   +1 more source

Multi-Objective Sparse Reconstruction With Transfer Learning and Localized Regularization

IEEE Access, 2020
Multi-objective sparse reconstruction methods have shown strong potential in sparse reconstruction. However, most methods are computationally expensive due to the requirement of excessive functional evaluations.
Bai Yan, Qi Zhao, J. Andrew Zhang, Zhihai Wang   +3 more
doaj   +1 more source

Acceptance testing of a CT scanner with a knowledge-based iterative reconstruction algorithm

Brazilian Journal of Radiation Sciences, 2019
Implementation of efficient computed tomography (CT) detectors, automatic exposure control and iterative reconstruction algorithms allows to obtain high quality images while minimizing absorbed dose to the patients, in consonance with the ALARA ...
Maryangel Jhoseline Medina, Francisco Javier Funes, Aley Palau, Vanesa María Sanz, Amilcar Remigio Osorio, Mauro Namías   +5 more
doaj   +1 more source

Accurate quantification of the algebraic, multiplicative algebraic, and simultaneous iterative reconstruction techniques in ionosphere rebuilding based on the TIEGCM assessment

Earth and Planetary Physics
The algebraic reconstruction technique (ART), multiplicative algebraic reconstruction technique (MART), and simultaneous iterative reconstruction technique (SIRT) are computational methodologies extensively utilized within the field of computerized ...
Ao Qi, HaiBing Ruan
doaj   +1 more source

Iterative parallel reconstruction of images on OPEN- POWER cluster

Системный анализ и прикладная информатика, 2019
Now one of the most important tasks is development and adaptation of iterative methods for the solution of the big rarefied systems of the algebraic equations.
S. A. Zolotarev, V. L. Vengrinovich, A. V. Vasilyev   +2 more
doaj   +1 more source

Optimization of Analytical Reconstruction Algorithms for Arbitrary CBCT Trajectory Using Deep Learning

e-Journal of Nondestructive Testing
This study addresses the challenge of applying analytical methods for Cone Beam Computed Tomography (CBCT) reconstructions along arbitrary trajectories instead of iterative methods.
Yuzhong Zhou, Linda-Sophie Schneider, Yipeng Sun, Andreas K. Maier   +3 more
doaj   +1 more source

A method based on vector type for sparse storage and quick access to projection matrix

Journal of Measurement Science and Instrumentation, 2015
For sparse storage and quick access to projection matrix based on vector type,this paper proposes a method to solve the problems of the repetitive computation of projection coefficient,the large space occupation and low retrieval efficiency of projection
YANG Juan, HOU Hui-ling, SHI Lang, Key Laboratory of Instrumentation Science & Dynamic Measurement   +3 more
doaj  

A new art code for tomographic interferometry [PDF]

A new algebraic reconstruction technique (ART) code based on the iterative refinement method of least squares solution for tomographic reconstruction is presented.
Modarress, D., Tan, H.
core   +1 more source

Deep learning CT reconstruction improves liver metastases detection

Insights into Imaging
Objectives Detection of liver metastases is crucial for guiding oncological management. Computed tomography through iterative reconstructions is widely used in this indication but has certain limitations.
Achraf Kanan, Bruno Pereira, Constance Hordonneau, Lucie Cassagnes, Eléonore Pouget, Léon Appolinaire Tianhoun, Benoît Chauveau, Benoît Magnin   +7 more
doaj   +1 more source

Tomographic task solution using a dichotomous discretization scheme in polar coordinates and partial system matrices invariant to rotations

Российский технологический журнал
Objectives. The purpose of this work was to create an effective iterative algorithm for the tomographic reconstruction of objects with large volumes of initial data.
A. А. Manushkin, N. N. Potrachov, A. V. Stepanov, E. Yu. Usachev   +3 more
doaj   +1 more source