| Summary: | Inverse source reconstruction is the most challenging aspect of bioluminescence tomography
(BLT) because of its ill-posedness. Although many efforts have been devoted to this problem, so
far, there is no generally accepted method. Due to the ill-posedness property of the BLT
inverse problem, the regularization method plays an important role in the inverse
reconstruction. In this paper, six reconstruction algorithms based on
lp regularization are surveyed. The effects of the permissible
source region, measurement noise, optical properties, tissue specificity and source locations
on the performance of the reconstruction algorithms are investigated using a series of single
source experiments. In order to further inspect the performance of the reconstruction
algorithms, we present the double sources and the in vivo mouse experiments to
study their resolution ability and potential for a practical heterogeneous mouse experiment. It
is hoped to provide useful guidance on algorithm development and application in the related
fields.
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