Noninvasive Imaging of Three-Dimensional Micro and Nanostructures by Topological Methods
DOI10.1137/16M1068669zbMath1381.94012arXiv1610.00623OpenAlexW2507502634MaRDI QIDQ3179605
Ana Carpio, Thomas G. Dimiduk, Virginia Selgas, María-Luisa Rapún
Publication date: 19 December 2016
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1610.00623
holographymicroscaleinverse scatteringtopological derivativecellular structuresnanoscaletopological energyvisible light imaging
Scattering theory for PDEs (35P25) Inverse problems for PDEs (35R30) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46) PDEs in connection with information and communication (35Q94)
Related Items (8)
Uses Software
Cites Work
- Defect detection from multi-frequency limited data via topological sensitivity
- On the detection of several obstacles in 2D Stokes flow: topological sensitivity and combination with shape derivatives
- Multi-frequency topological derivative for approximate shape acquisition of curve-like thin electromagnetic inhomogeneities
- From imaging to material identification: a generalized concept of topological sensitivity
- Efficient automatic quadrature in 3-D Galerkin BEM
- Nonsymmetric coupling of BEM and mixed FEM on polyhedral interfaces
- Hybrid topological derivative and gradient-based methods for electrical impedance tomography
- The Inverse Scattering Problem for Time-Harmonic Acoustic Waves
- Small-inclusion asymptotic of misfit functionals for inverse problems in acoustics
- Topological Derivatives for Shape Reconstruction
- Solving inhomogeneous inverse problems by topological derivative methods
- 3D microwave imaging via preliminary support reconstruction: testing on the Fresnel 2008 database
- Three-dimensional reconstruction from real data using a conjugate gradient-coupled dipole method
- Three-dimensional quantitative microwave imaging from measured data with multiplicative smoothing and value picking regularization
- Microwave imaging from experimental data within a Bayesian framework with realistic random noise
- Application of the multiplicative regularized contrast source inversion method on 3D experimental Fresnel data
- Reconstruction of 3D objects from multi-frequency experimental data with a fast DBIM-BCGS method
- Level set methods for inverse scattering—some recent developments
- On the Topological Derivative in Shape Optimization
- A Simple Mesh Generator in MATLAB
- Principles of Optics
- Why the high-frequency inverse scattering by topological sensitivity may work
- Level set methods for inverse scattering
- A new method in inverse scattering based on the topological derivative
- An iterative method for parameter identification and shape reconstruction
- Inverse acoustic and electromagnetic scattering theory
- A fast, high-order algorithm for the solution of surface scattering problems: Basic implementation, tests, and applications
This page was built for publication: Noninvasive Imaging of Three-Dimensional Micro and Nanostructures by Topological Methods