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Quantitative Photoacoustic Tomography

Part of the Lecture Notes in Mathematics book series (LNMBIOS,volume 2035)

Summary

This chapter focuses on quantitative photoacoustic tomography to recover optical maps from the deposited optical energy. After a brief overview of models, theories and algorithms, we provide an algorithm for large-scale 3D reconstructions, so-called gradient-based bound-constrained split Bregman method (GBSB).

Keywords

  • Discontinuous Galerkin
  • Discontinuous Galerkin Method
  • Radiative Transfer Equation
  • Simple Bound
  • Total Variation Norm

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Correspondence to Hongkai Zhao .

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Gao, H., Osher, S., Zhao, H. (2012). Quantitative Photoacoustic Tomography. In: Ammari, H. (eds) Mathematical Modeling in Biomedical Imaging II. Lecture Notes in Mathematics(), vol 2035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22990-9_5

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