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Inverse Scattering Theory

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Part of the book series: Acoustical Imaging ((ACIM,volume 30))

Abstract

This paper discuss a fully 3D nonlinear algorithm that results in a 3D quantitative estimate of breast tissue characteristics and a refraction corrected reflection algorithm (RFCR) that utilizes these estimates. The data are obtained from a specially designed clinical ultrasound breast scanner and processed on the device. We discuss the data collection process, a fast solution to the forward problem and a concomitant fast inverse scattering solution for the imaging problem. We show how the resulting 3D tissue map is used in a refraction corrected reflection algorithm.

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References

  1. André, M.P., Barker, C.H., Sekhon, N., Wiskin, J., Borup, D., Callahan, K.: Pre-clinical experience with full wave inverse scattering for breast imaging. In: Akiyama, I. (ed.) Acoustical Imaging, vol. 29. Springer, Dordrecht (2008)

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  2. Wiskin, J., Borup, D.T., Johnson, S.A., Berggren, M., et al.: Full wave non-linear inverse scattering. In: André, M. (ed.) Acoustical Imaging, vol. 28, p. 183. Springer, Dordrecht (2007)

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  3. Bailin, D., Love, A.: Introduction to Gauge Field Theory, Ch. 2, eqn. 2.18. Institute of Physics Publishing, Bristol (1993)

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  4. Johnson, et al.: Acoustic imaging using inverse scattering techniques, US Patent #6,636,584

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  5. Born, M., Wolf, E.: Principles of Optics, 7th edn. Cambridge University Press, Cambridge (1999)

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Correspondence to J. Wiskin .

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© 2011 Springer Science+Business Media B.V.

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Wiskin, J., Borup, D., Johnson, S. (2011). Inverse Scattering Theory. In: André, M., Jones, J., Lee, H. (eds) Acoustical Imaging. Acoustical Imaging, vol 30. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3255-3_7

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