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Piecewise Acoustic Source Imaging with Unknown Speed of Sound Using a Level-Set Method.

Guanghui HuangJianliang QianYang Yang
Published in: Communications on applied mathematics and computation (2023)
We investigate the following inverse problem: starting from the acoustic wave equation, reconstruct a piecewise constant passive acoustic source from a single boundary temporal measurement without knowing the speed of sound. When the amplitudes of the source are known a priori, we prove a unique determination result of the shape and propose a level set algorithm to reconstruct the singularities. When the singularities of the source are known a priori, we show unique determination of the source amplitudes and propose a least-squares fitting algorithm to recover the source amplitudes. The analysis bridges the low-frequency source inversion problem and the inverse problem of gravimetry. The proposed algorithms are validated and quantitatively evaluated with numerical experiments in 2D and 3D.
Keyphrases
  • machine learning
  • deep learning
  • high resolution
  • magnetic resonance imaging
  • magnetic resonance
  • mass spectrometry
  • molecularly imprinted
  • data analysis
  • fluorescence imaging