Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm
type: Item
instance of: scholarly article
title: Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm
zbMATH Open document ID: 1406.90118
author: V. L. Coli
author: E. Morotti
author: E. Loli Piccolomini
author: Luca Zanni
published in: Computational Optimization and Applications
publication date: 2018-10-02T00:00:00Z
full work available at URL: http://hdl.handle.net/11585/633541
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C52
zbMATH DE Number: 6946581
zbMATH Keywords: 3D computed tomography
zbMATH Keywords: image reconstruction
zbMATH Keywords: total variation regularization
zbMATH Keywords: nonnegatively constrained minimization
zbMATH Keywords: scaled gradient projection methods
MaRDI profile type: Publication
OpenAlex ID: W2767301760
cites work: Two-Point Step Size Gradient Methods
cites work: A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
cites work: Q3102800
cites work: Inexact spectral projected gradient methods on convex sets
cites work: Scaling techniques for gradient projection-type methods in astronomical image deblurring
cites work: A variable metric forward-backward method with extrapolation
cites work: New convergence results for the scaled gradient projection method
cites work: A scaled gradient projection method for constrained image deblurring
cites work: An efficient gradient method using the Yuan steplength
cites work: An algorithm for total variation regularization in high-dimensional linear problems
cites work: On the steplength selection in gradient methods for unconstrained optimization
cites work: New adaptive stepsize selections in gradient methods
cites work: On the steepest descent algorithm for quadratic functions
cites work: Implementation of an optimal first-order method for strongly convex total variation regularization
cites work: Penalized maximum likelihood image restoration with positivity constraints: multiplicative algorithms
cites work: Introductory lectures on convex optimization. A basic course.
cites work: Gradient methods for minimizing composite functions
cites work: A new steplength selection for scaled gradient methods with application to image deblurring
cites work: Computational Methods for Inverse Problems
cites work: On sets of numbers accepted by P/T systems composed by join
cites work: Gradient methods with adaptive step-sizes
DOI: 10.1007/S10589-017-9961-2
Recommended article: A scaled gradient method for digital tomographic image reconstruction
Recommended article: Algorithm of Reconstruction of Three-Dimensional Images in X-Ray Computed Tomography with a Cone Beam
Recommended article: XCT image reconstruction by a modified superiorized iteration and theoretical analysis
Recommended article: A Multiresolution Approach to Iterative Reconstruction Algorithms in X-Ray Computed Tomography
Recommended article: Optimal recovery of 3D X-ray tomographic data via shearlet decomposition
Recommended article: Q3973641
Recommended article: Forward-Projection Architecture for Fast Iterative Image Reconstruction in X-Ray CT
Recommended article: Reconstruction in the three-dimensional parallel scanning geometry with application in synchrotron-based x-ray tomography
Recommended article: Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data
description: scientific article; zbMATH DE number 6946581