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Proceedings Paper

Ultrasound Inverse Scattering Solutions From Transmission And/Or Reflection Data
Author(s): M. J. Berggren; S. A. Johnson; B. L. Carruth; W. W. Kim; F. Stenger; P. K. Kuhn
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Paper Abstract

Although historically the Born or Rytov linear approximations have received a great deal of attention, it is now more apparent that only a full nonlinear formulation of the inverse scattering problem, such as those we have developed, provide the accuracy for quantitative clinical ultrasound imaging. Our inverse scattering solutions have been developed to reconstruct quantitative images of speed of sound, density, and absorption using the exact Helmholtz wave equation without perturbation approximations. We have developed fast algorithms which are based upon Galerkin or moment discretizations and use various iterative solution techniques such as back propagation and descent methods. In order to reconstruct images with reflection-only scanner geometries we have extended our algorithms to include multiple frequency data. We have demonstrated a procedure for imaging inhomogeneous density distributions. We also discuss the significance and potential applications of these new methods.

Paper Details

Date Published: 1 January 1986
PDF: 10 pages
Proc. SPIE 0671, Physics and Engineering of Computerized Multidimensional Imaging and Processing, (1 January 1986);
Show Author Affiliations
M. J. Berggren, University of Utah (United States)
S. A. Johnson, University of Utah (United States)
B. L. Carruth, University of Utah (United States)
W. W. Kim, University of Utah (United States)
F. Stenger, University of Utah (United States)
P. K. Kuhn, University of Utah (United States)

Published in SPIE Proceedings Vol. 0671:
Physics and Engineering of Computerized Multidimensional Imaging and Processing
Thomas F. Budinger; Zang-Hee Cho; Orhan Nalcioglu, Editor(s)

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