Adaptive coded aperture design for compressive computed tomography

DOI10.1016/j.cam.2020.113174zbMath1459.92050OpenAlexW3081587999MaRDI QIDQ2222079

Andrés Jerez, Henry Arguello, Miguel Marquez

Publication date: 3 February 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2020.113174

zbMATH Keywords

computed tomographycompressive sensingbeam hardening artifactsadaptive coded apertures

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Uses Software

• ASTRA

Cites Work

• Unnamed Item
• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• A mathematical introduction to compressive sensing
• Coded aperture optimization for single pixel compressive computed tomography
• On the Inverse of the Sum of Matrices
• An Estimate for the Condition Number of a Matrix
• Super-Resolution for Computed Tomography Based on Discrete Tomography
• Binary Codification Design for Compressive Imaging by Uniform Sensing
• Gershgorin's Theorem and the Zeros of Polynomials
• An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

This page was built for publication: Adaptive coded aperture design for compressive computed tomography