Title :
A hybrid genetic algorithm based on quadratic penalty function for BLT light source reconstruction
Author :
Gao, Shuping ; Zhang, Qitan ; Zhang, Ling
Author_Institution :
Dept. of Appl. Math., Xidian Univ., Xi´´an, China
Abstract :
Bioluminescence tomography (BLT) has become a hot topic over in recent years. In this paper, a hybrid genetic reconstruction algorithm (HGA) based on quadratic penalty function is presented for BLT inverse problem. Simulation results of the single and multiple sources are reported in a molecular optical simulation environment (MOSE) which we developed to simulate the photon transportation of optical imaging in living organisms. Comparing with genetic algorithm (GA), the illustrations indicate that HGA is feasible and effective for BLT source reconstruction.
Keywords :
bioluminescence; biomedical optical imaging; genetic algorithms; image reconstruction; inverse problems; light sources; medical image processing; molecular biophysics; optical tomography; phantoms; piecewise constant techniques; quadratic programming; bioluminescence tomography; hybrid genetic algorithm; inverse problem; light source reconstruction; living organisms; molecular optical simulation environment; optical imaging; phantoms; photon transportation; piecewise constant function; quadratic penalty function; Bioluminescence; Gallium; Image reconstruction; Optimization; Phantoms; Reconstruction algorithms; Bioluminescence Tomography (BLT); Hybrid Genetic Algorithm; Inverse Problem; Molecular Imaging; Quadratic Penalty Function;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639667
