Paper Info
Title
Differential Evolution Approach for Regularized Bioluminescence Tomography
Abstract
Bioluminescence tomography (BLT) is an inverse source problem that localizes and quantifies bioluminescent probe distribution in 3-D. The generic BLT model is ill-posed, leading to nonunique solutions and aberrant reconstruction in the presence of measurement noise and optical parameter mismatches. In this paper, we introduce the knowledge of the number of bioluminescence sources to stabilize the BLT problem. Based on this regularized BLT model, we develop a differential evolution-based reconstruction algorithm to determine the source locations and strengths accurately and reliably. Then, we evaluate this novel approach in numerical, phantom, and mouse studies.
Year
DOI
Venue
2010
10.1109/TBME.2010.2041452
Biomedical Engineering, IEEE Transactions
Keywords
Field
DocType
bioluminescence,image reconstruction,medical image processing,numerical analysis,optical tomography,phantoms,physiological models,3D bioluminescent probe distribution,aberrant reconstruction,bioluminescence sources,differential evolution approach,ill-posed generic BLT model,inverse source problem,measurement noise,mouse,nonunique solutions,numerical approach,optical parameter mismatches,phantom,regularized bioluminescence tomography,source locations,source strengths,Bioluminescence tomography (BLT),differential evolution (DE),diffusion approximation (DA),inverse source problem,reconstruction algorithm
Biological system,Noise measurement,Imaging phantom,Reconstruction algorithm,Inverse problem,Artificial intelligence,Optical tomography,Iterative reconstruction,Computer vision,Optics,Differential evolution,Tomography,Physics
Journal
Volume
Issue
ISSN
57
9
0018-9294
Citations 
PageRank 
References 
7
0.76
5
Authors
6
Name
Order
Citations
PageRank
Alexander X. Cong1234.54
Wenxiang Cong27114.65
Yujie Lu3192.83
Peter Santago4336.69
Arion F Chatziioannou5181.92
Ge Wang61000142.51