NDLI: Aharonov–Bohm-inspired tomographic imaging via compressive sensing

Content Provider	IET Digital Library
Author	Valagiannopoulos, Constantinos Marengo, Edwin A. Dimakis, Alexandros G. Alù, Andrea
Abstract	The Aharonov–Bohm effect is a well-established quantum phenomenon that relates the behaviour of an electron not only to the local electromagnetic field but also to the associated potentials. An important consequence is that electron beams travelling through an arbitrary medium can carry information not only about the properties of the materials along with their trajectories but also about those of the entire background around them. Based on this established principle, the authors propose an inverse formulation for the estimation of a sample's magnetic permeability based on measurements of the wave function of a split electron beam. For one-dimensional distributions, the analysed concept is shown to lead to the ideal retrieval of the sample's texture for a sufficiently large number of measurements. Two- and three-dimensional permeability distributions can be successfully estimated by employing sparsification transformations associated with compressive imaging approaches. The proposed configuration and formulation may be useful in non-destructive detection and sensing of biological, chemical or ferrimagnetic samples.
Starting Page	1890
Ending Page	1894
Page Count	5
ISSN	17518725
Volume Number	12
e-ISSN	17518733
Issue Number	Issue 12, Oct (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-map/12/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-map.2017.0609
Journal	IET Microwaves, Antennas & Propagation
Publisher Date	2018-05-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Aharonov-Bohm Effect Aharonov-Bohm-inspired Tomographic Imaging Biological Sample Sensing Chemical Sample Sensing Compressed Sensing Compressive Imaging Approach Compressive Sensing Computer Vision And Image Processing Technique Electromagnetic Field Electron Beam Electron Behaviour Ferrimagnetic Sample Sensing Image Retrieval Image Texture Information Retrieval Technique Inverse Formulation Local Electromagnetic Field Magnetic Permeability Material Science Computing Nondestructive Detection One-dimensional Distribution Optical, Image And Video Signal Processing Physics And Chemistry Computing Quantum Phenomenon Sample Magnetic Permeability Estimation Sample Texture Sparsification Transformations Split Electron Beam Tomography Two-dimensional Permeability Distribution Wave Function Wave Function Measurement
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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