Fast source reconstruction for bioluminescence tomography based on sparse regularization

IEEE Transactions on Bio-medical Engineering
Jingjing YuXiaowei He

Abstract

Bioluminescence tomography (BLT) is an inherent ill-posed inverse problem to reconstruct the internal source in 3-D with limited measurements on the external surface. In most BLT studies so far, a relatively small permissible source region or multispectral approach is typically used to enhance the stability or quality of the solution. In this letter, considering the sparsity characteristic of the light source, BLT is reformulated as a least absolute shrinkage and selection operator (LASSO) problem with l(1) regularization, and then, a fast reconstruction algorithm named as stagewise fast LASSO is proposed for solving this problem. Numerical simulations of a 3-D mouse atlas under different noise levels demonstrate that the proposed algorithm is robust against measurement noise, and it can achieve high computational efficiency and accurate localization of source even without any permissible region constraint.

References

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Mar 15, 2005·Nature Biotechnology·Vasilis NtziachristosRalph Weissleder
Nov 25, 2005·Physics in Medicine and Biology·Abhijit J ChaudhariRichard M Leahy
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Feb 23, 2010·IEEE Transactions on Bio-medical Engineering·Alexander CongGe Wang

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Citations

Mar 28, 2013·Computational and Mathematical Methods in Medicine·Jingjing YuL C Jiao
Dec 7, 2011·International Journal of Biomedical Imaging·Jingjing YuXiaowei He
Nov 4, 2016·Molecular Imaging and Biology : MIB : the Official Publication of the Academy of Molecular Imaging·Yifang HuKun Wang
Jan 29, 2020·Journal of Biophotonics·Hongbo GuoXudong Yang

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