Skip to main navigation
Skip to search
Skip to main content
University of Applied Sciences Upper Austria Home
Help & FAQ
Link opens in a new tab
English
Deutsch
Search content at University of Applied Sciences Upper Austria
Home
Research units
Profiles
Research output
Projects
Prizes
Activities
Press/Media
Student theses
Solution of the inverse problem of magnetic induction tomography (MIT)
Robert Merwa
*
, Karl Hollaus
, Patricia Brunner
, Hermann Scharfetter
*
Corresponding author for this work
Research Center Linz
Research output
:
Contribution to journal
›
Article
›
peer-review
92
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Solution of the inverse problem of magnetic induction tomography (MIT)'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Magnetic Induction Tomography
100%
Conductivity Distribution
100%
Receiver Coil
100%
Planar Gradiometer
100%
Inverse Problem Solution
100%
Differential Imaging
66%
Excitation Coil
66%
Conductivity Change
66%
Regularization Scheme
66%
Spherical Perturbations
33%
Passive Electrical Properties
33%
Permittivity
33%
One-step Method
33%
Gauss-Newton
33%
Biological Tissue
33%
Inverse Problem
33%
Measure Data
33%
Complex Conductivity
33%
Alternating Magnetic Field
33%
Conducting Cylinder
33%
Measurement Principle
33%
Regularization Method
33%
Negative Conductivity
33%
Unit Matrix
33%
3D Image
33%
Expected Range
33%
Differential Matrix
33%
Spurious Features
33%
Random Noise
33%
First-order
33%
Median Plane
33%
Regular Matrix
33%
Symmetrical Arrangement
33%
Negative Sign
33%
Uniformization
33%
Truncated Singular Value Decomposition
33%
Synthetic Measurement
33%
Inverse Eddy Current Problem
33%
Inverse Solver
33%
Engineering
Regularization
100%
Conductivity Distribution
100%
Receiver Coil
100%
Magnetic Induction
100%
Gauss
33%
One Step
33%
Biological Tissue
33%
Measurement Data
33%
Magnetic Field
33%
Regularization Method
33%
Negative Sign
33%
Singular Value Decomposition
33%
Mathematics
Regularization
100%
Magnetic Induction
100%
Matrix (Mathematics)
50%
Step Method
25%
3D Image
25%
Magnetic Field
25%
Negative Sign
25%
Unit Matrix
25%
Variance
25%
Singular Value Decomposition
25%
Random Noise
25%
Earth and Planetary Sciences
Inverse Problem
100%
Magnetic Induction
100%
Tomography
100%
Eddy Current
33%
Electrical Property
33%
Random Noise
33%
Permittivity
33%
Computer Science
Inverse Problem
100%
Magnetic Induction
100%
Regularization
100%
Measurement Data
33%
Singular Value
33%
Regularization Method
33%
One-Step Method
33%
Physics
Tomography
100%
Conductance
100%
Magnetic Field
16%
Eddy Current
16%
Permittivity
16%
Electrical Property
16%
Random Noise
16%