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    Theoretically exact photoacoustic reconstruction from spatially and temporally reduced data

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    Author
    Do, N
    Kunyansky, L
    Affiliation
    Univ Arizona, Dept Math
    Issue Date
    2018-09
    Keywords
    photoacoustic tomography
    thermoacoustic tomography
    wave equation
    spherical means
    explicit inversion formula
    reduced data
    
    Metadata
    Show full item record
    Publisher
    IOP PUBLISHING LTD
    Citation
    N Do and L Kunyansky 2018 Inverse Problems 34 094004
    Journal
    INVERSE PROBLEMS
    Rights
    © 2018 IOP Publishing Ltd.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We investigate the inverse source problem for the wave equation, arising in photo- and thermoacoustic tomography. There exist quite a few theoretically exact inversion formulas explicitly expressing the solution of this problem in terms of the measured data, under the assumption of the constant and known speed of sound. However, almost all of these formulas require data to be measured either on an unbounded surface, or on a closed surface completely surrounding the object. This is too restrictive for practical applications. The alternative approach we present, under certain restriction on geometry, yields a theoretically exact reconstruction of the standard Radon projections of the source from the data measured on a finite open surface. In addition, this technique reduces the time interval where the data should be known. In general, our method requires a pre-computation of densities of certain single-layer potentials. However, in the case of a truncated circular or spherical acquisition surface, these densities are easily obtained analytically, which leads to fully explicit asymptotically fast algorithms. We test these algorithms in a series of numerical simulations.
    Note
    12 month embargo; published online: 16 July 2018
    ISSN
    0266-5611
    1361-6420
    DOI
    10.1088/1361-6420/aacfac
    Version
    Final accepted manuscript
    Sponsors
    NSF [NSF/DMS-1211521, NSF/DMS-1418772]
    Additional Links
    http://stacks.iop.org/0266-5611/34/i=9/a=094004?key=crossref.5ea2b89c048a58c0b129e6cbbfabee58
    ae974a485f413a2113503eed53cd6c53
    10.1088/1361-6420/aacfac
    Scopus Count
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