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Image reconstruction with acoustic measurement using distorted Born iteration method

C Lu1, J Lin, W Chew

  • 1Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA.

Ultrasonic Imaging
|April 1, 1996
PubMed
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The distorted Born iterative method (DBIM) effectively reconstructs images from inverse scattering data. This method is validated for both electromagnetics and ultrasonics, showing promise for analyzing complex object structures.

Area of Science:

  • Electromagnetics
  • Ultrasonics
  • Inverse Scattering Problems

Background:

  • The distorted Born iterative method (DBIM) is a powerful technique for solving inverse scattering problems.
  • Traditional methods may have limitations in handling complex object geometries and wave interactions.

Purpose of the Study:

  • To apply the DBIM to electromagnetics and ultrasonics inverse scattering problems.
  • To validate the applicability of the first-order Born approximation for larger objects.
  • To reconstruct images of objects using ultrasonic measurement data and compare with existing methods.

Main Methods:

  • Utilized the distorted Born iterative method (DBIM) for data processing.
  • Simulated scattered fields from 2D cylinders with arbitrary cross-sections.

Related Experiment Videos

  • Applied DBIM to ultrasonic measurement data of a balloon and an egg in water.

    • Main Results:

    • Confirmed that the first-order Born approximation is applicable to larger objects under specific phase change conditions.
    • Successfully reconstructed images of a balloon and an egg using ultrasonic data.
    • Compared DBIM reconstructions with those obtained from first-order diffraction tomography (DT).

    Conclusions:

    • The distorted Born iterative method (DBIM) is effective for solving both electromagnetic and ultrasonic inverse scattering problems.
    • DBIM offers a viable approach for imaging objects, demonstrating superior or comparable results to diffraction tomography in tested scenarios.