Abstract
We introduce the PDE-constrained fluorescence tomography algorithm that is based on a sequential quadratic programming (SQP) method. Numerical and experimental data are presented to evaluate the performance of the new algorithm. The frequency-domain equation of radiative transfer is used as a light propagation model. The results show that the PDE-constrained approach accelerates the reconstruction process up to a factor of 10 to 15 as compared to the unconstrained approach.
© 2010 Optical Society of America
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