Publication | Closed Access
Multiresolution subspace-based optimization method for inverse scattering problems
69
Citations
34
References
2011
Year
Numerical AnalysisImage ReconstructionEngineeringMulti-resolution MethodConjugate Gradient MinimizationSignal ReconstructionApproximation TheoryLow-rank ApproximationHealth SciencesReconstruction TechniqueMedical ImagingInverse Scattering TransformsInverse ProblemsMedical Image ComputingSignal ProcessingPhase RetrievalContrast SourcesContrast Source FormulationBiomedical ImagingInverse Scattering Problems
This paper investigates an approach to inverse scattering problems based on the integration of the subspace-based optimization method (SOM) within a multifocusing scheme in the framework of the contrast source formulation. The scattering equations are solved by a nested three-step procedure composed of (a) an outer multiresolution loop dealing with the identification of the regions of interest within the investigation domain through an iterative information-acquisition process, (b) a spectrum analysis step devoted to the reconstruction of the deterministic components of the contrast sources, and (c) an inner optimization loop aimed at retrieving the ambiguous components of the contrast sources through a conjugate gradient minimization of a suitable objective function. A set of representative reconstruction results is discussed to provide numerical evidence of the effectiveness of the proposed algorithmic approach as well as to assess the features and potentialities of the multifocusing integration in comparison with the state-of-the-art SOM implementation.
| Year | Citations | |
|---|---|---|
Page 1
Page 1