Quantitative Photoacoustic Tomography

@inproceedings{Gao2011QuantitativePT,
  title={Quantitative Photoacoustic Tomography},
  author={Hao Gao and Hongkai Zhao and Stanley Osher},
  year={2011}
}
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). 

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 24 extracted citations

Nonlinear Quantitative Photoacoustic Tomography with Two-Photon Absorption

SIAM Journal of Applied Mathematics • 2018
View 16 Excerpts
Highly Influenced

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…