Title :
Differential Evolution Approach for Regularized Bioluminescence Tomography
Author :
Cong, Alexander ; Cong, Wenxiang ; Lu, Yujie ; Santago, Peter ; Chatziioannou, Arion ; Wang, Ge
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
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.
Keywords :
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; Animals; Cell Line, Tumor; Computer Simulation; Finite Element Analysis; Humans; Image Processing, Computer-Assisted; Luciferases; Luminescent Measurements; Mice; Mice, SCID; Neoplasm Transplantation; Neoplasms; Phantoms, Imaging; Tomography; X-Ray Microtomography;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2010.2041452
