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

Volume

1

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

13

Lastpage

17

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6495-1

Type

conf

DOI

10.1109/BMEI.2010.5639667

Filename

5639667