Reciprocity gap functional for potentials/sources with small-volume support for two elliptic equations

Abstract

In this paper, we consider inverse shape problems coming from diffuse optical tomography and the Helmholtz equation. In both problems, our goal is to reconstruct small volume interior regions from measured data on the exterior surface of an object. In order to achieve this, we will derive an asymptotic expansion of the reciprocity gap functional associated with each problem. The reciprocity gap functional takes in the measured Cauchy data on the exterior surface of the object. In diffuse optical tomography, we prove that a MUSIC-type algorithm that does not require evaluating the Green's function can be used to recover the unknown subregions. This gives an analytically rigorous and computationally simple method for recovering the small volume regions. For the problem coming from inverse scattering, we recover the subregions of interest via a direct sampling method. The direct sampling method presented here allows us to accurately recover the small volume region from one pair of Cauchy data, requiring less data than many direct sampling methods. We also prove that the direct sampling method is stable with respect to noisy data. Numerical examples will be presented for both cases in two dimensions where the measurement surface is the unit circle.

Keywords:

• Diffuse optical tomography
• helmholtz equation
• MUSIC algorithm
• direct sampling

Mathematics Subject Classifications:

• 35J05
• 35J25

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The research of G. Granados and I. Harris is partially supported by the NSF DMS Grant 2107891.