Inverse scattering with chemical composition constraints for spectroscopic tomography

Luke Pfister, Yoram Bresler, Rohit Bhargava, P. Scott Carney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A dramatic reduction in data required for chemically specific 3-D imaging is achieved through prior constraints on the known constituents of the sample. We solve the inverse scattering problem to determine morphology and composition.

Original languageEnglish (US)
Title of host publicationMathematics in Imaging, MATH 2016
PublisherOSA - The Optical Society
ISBN (Print)9781943580156
DOIs
StatePublished - Jul 18 2016
EventMathematics in Imaging, MATH 2016 - Heidelberg, Germany
Duration: Jul 25 2016Jul 28 2016

Publication series

NameOptics InfoBase Conference Papers

Other

OtherMathematics in Imaging, MATH 2016
CountryGermany
CityHeidelberg
Period7/25/167/28/16

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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  • Cite this

    Pfister, L., Bresler, Y., Bhargava, R., & Carney, P. S. (2016). Inverse scattering with chemical composition constraints for spectroscopic tomography. In Mathematics in Imaging, MATH 2016 (Optics InfoBase Conference Papers). OSA - The Optical Society. https://doi.org/10.1364/MATH.2016.MW2I.3