Open AccessAdaptive-mesh-based algorithm for fluorescence molecular tomography using an analytical solution
Author(s) -
Daifa Wang,
Xiaolei Song,
Jing Bai
Publication year - 2007
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.15.009722
Subject(s) - tomography , computer science , algorithm , optics , iterative reconstruction , computation , adaptive mesh refinement , image quality , molecular imaging , image (mathematics) , artificial intelligence , physics , in vivo , computational science , microbiology and biotechnology , biology
Fluorescence molecular tomography (FMT) has become an important method for in-vivo imaging of small animals. It has been widely used for tumor genesis, cancer detection, metastasis, drug discovery, and gene therapy. In this study, an algorithm for FMT is proposed to obtain accurate and fast reconstruction by combining an adaptive mesh refinement technique and an analytical solution of diffusion equation. Numerical studies have been performed on a parallel plate FMT system with matching fluid. The reconstructions obtained show that the algorithm is efficient in computation time, and they also maintain image quality.