Testing of new imaging algorithm for segmented MR images of breast tissue

Michael V. Klibanov; Thomas R. Lucas; Robert M. Frank; Randall Locke Barbour; Harry L. Gruber

doi:10.1117/12.280300

18 August 1997 Testing of new imaging algorithm for segmented MR images of breast tissue

Michael V. Klibanov, Thomas R. Lucas, Robert M. Frank, Randall Locke Barbour, Harry L. Gruber

Proceedings Volume 2979, Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model, and Human Studies II; (1997) https://doi.org/10.1117/12.280300
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States

Abstract

In a paper by the first three authors a new algorithm for optical tomography (OT) in the time domain was described and tested for the case of a uniform background medium (see current proceedings). The goal of this paper is to test this method for the case where the background medium is an anatomically accurate optical map of the breast tissue obtained on the basis of a segmented magnetic resonance (MR) image. The key innovation of this imaging algorithm lies in a new approach for a novel linearized problem (LP). Such an LP is reduced to a boundary value problem for a coupled system of elliptic partial differential equations, rather than a conventional form of an ill-posed integral equation. The solution of this system in turn is done very rapidly. Thus, this is a fast imaging algorithm.

Citation Download Citation

Michael V. Klibanov, Thomas R. Lucas, Robert M. Frank, Randall Locke Barbour, and Harry L. Gruber "Testing of new imaging algorithm for segmented MR images of breast tissue", Proc. SPIE 2979, Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model, and Human Studies II, (18 August 1997); https://doi.org/10.1117/12.280300

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