Quantitative photoacoustic tomography by stochastic search, direct recovery of the optical absorption field

M. Venugopal, Peter van Es, Srirang Manohar, D. Roy, R.M. Vasu

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)

Abstract

We present, perhaps for the first time, a stochastic search algorithm in quantitative photoacoustic tomography (QPAT) for a one-step recovery of the optical absorption map from time-resolved photoacoustic signals. Such a direct recovery is free of the numerical inaccuracies inherent in conventional two-step approaches that depend on an accurate estimation of the absorbed energy distribution. The absorption profile parameterized as a vector stochastic process is additively updated over time recursions so as to drive the measurement-prediction misfit to a zero-mean white noise. The derivative-free additive update is a welcome departure from the conventional gradient-based methods requiring evaluation of Jacobians at every recursion. The quantitative accuracy of the recovered absorption map from both numerical and experimental data is good with an overall error of less than 10%.
Original languageEnglish
Pages (from-to)4202-4205
Number of pages4
JournalOptics letters
Volume41
Issue number18
DOIs
Publication statusPublished - 2016

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optical absorption
tomography
recovery
stochastic processes
white noise
energy distribution
gradients
evaluation
profiles
predictions

Keywords

  • IR-101194
  • METIS-317690

Cite this

Venugopal, M. ; van Es, Peter ; Manohar, Srirang ; Roy, D. ; Vasu, R.M. / Quantitative photoacoustic tomography by stochastic search, direct recovery of the optical absorption field. In: Optics letters. 2016 ; Vol. 41, No. 18. pp. 4202-4205.
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Quantitative photoacoustic tomography by stochastic search, direct recovery of the optical absorption field. / Venugopal, M.; van Es, Peter; Manohar, Srirang; Roy, D.; Vasu, R.M.

In: Optics letters, Vol. 41, No. 18, 2016, p. 4202-4205.

Research output: Contribution to journalArticleAcademicpeer-review

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