Abstract
Bioluminescence tomography (BLT) is a promising optical molecular imaging technique on the frontier of biomedical optics. In this paper, a generalized hybrid algorithm has been proposed based on the graph cuts algorithm and gradient-based algorithms. The graph cuts algorithm is adopted to estimate a reliable source support without prior knowledge, and different gradient-based algorithms are sequentially used to acquire an accurate and fine source distribution according to the reconstruction status. Furthermore, multilevel meshes for the internal sources are used to speed up the computation and improve the accuracy of reconstruction. Numerical simulations have been performed to validate this proposed algorithm and demonstrate its high performance in the multi-source situation even if the detection noises, optical property errors and phantom structure errors are involved in the forward imaging.
Highlights
Bioluminescence tomography (BLT) is an established optical molecular imaging technique for quantitatively monitoring the in vivo biological process of small animals [1,2,3]
Numerical simulations have been performed to validate this proposed algorithm and demonstrate its high performance in the multi-source situation even if the detection noises, optical property errors and phantom structure errors are involved in the forward imaging
A graph cuts (GC) algorithm has been presented to localize the bioluminescent source in BLT reconstruction which has been widely used in computer vision [19, 34, 35]
Summary
Bioluminescence tomography (BLT) is an established optical molecular imaging technique for quantitatively monitoring the in vivo biological process of small animals [1,2,3] It involves a typical inverse source problem and aims to localize the bioluminescent sources inside the tissues and quantify their distributions from light detection on the surface [4]. Based on the global optimization, the regularized BLT objective function can be represented by a directed graph and be resolved by graph cuts algorithm in the whole region without source support constraint. Their single-source BLT experiment has demonstrated that the localization of reconstructed source is accurate at sub-millimeter level.
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