Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Density imaging using a multiple-frequency DBIM approach
Roberto Lavarello,
Michael Oelze
Electrical and Computer Engineering
Micro and Nanotechnology Lab
Bioengineering
Beckman Institute for Advanced Science and Technology
Coordinated Science Lab
Biomedical and Translational Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Density imaging using a multiple-frequency DBIM approach'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Multi-frequency
100%
Density Imaging
100%
Distorted Born Iterative Method
66%
Order of Magnitude
33%
Density Variation
33%
T-matrix
33%
Dual Frequency
33%
Speed of Sound
16%
Frequency Content
16%
Linear Combination
16%
Wave Equation
16%
Gaussian Noise
16%
Root Mean Square Error
16%
Imaging Target
16%
Inverse Scattering Method
16%
Imaging Algorithm
16%
Sound Density
16%
Object Function
16%
Improved Approach
16%
Speed Variation
16%
Information Density
16%
High Spatial Frequency
16%
Frequency Profile
16%
Experimental Implementation
16%
Density Reconstruction
16%
Earth and Planetary Sciences
Wave Equation
100%
Inverse Scattering
100%
Root-Mean-Square Error
100%
Matrix Method
100%
Random Noise
100%
Physics
Inverse Scattering
100%
Wave Equation
100%
Random Noise
100%
Chemistry
Gaussian Distribution
100%
Wave Equation
100%
Scattering Methods
100%
Engineering
Multiple Frequency
100%
Simulated Data
33%
Limitations
16%
Sound Speed
16%
Frequency Content
16%
Spatial Frequency
16%
Linear Combination
16%
Root Mean Square Error
16%
Gaussian White Noise
16%
Matrix Method
16%