Three-dimensional reconstruction for fluorescence tomography using cylinder phantoms


Journal Article

Based on the finite element analysis, this study applies three iterative regularization algorithms to the 3D reconstruction of fluorescent yield, including conjugate gradient least square (CGLS), least square QR decomposition (LSQR), and 2-order pre-iteration method. By using a non-contact, multi-angle transmission imaging system, the experiments of single fluorescent target and double targets with the common-used cylinder phantom are conducted. Experimental results show that the above three methods could estimate the position of fluorescence targets accurately, while the time cost of each method is only about 2% of that of algebraic reconstruction technology (ART). © by Institute of Software, the Chinese Academy of Sciences. All rights reserved.

Full Text

Duke Authors

Cited Authors

  • Song, XL; Hu, G; Yao, JJ; Bai, J

Published Date

  • May 1, 2009

Published In

Volume / Issue

  • 20 / 5

Start / End Page

  • 1089 - 1095

International Standard Serial Number (ISSN)

  • 1000-9825

Digital Object Identifier (DOI)

  • 10.3724/SP.J.1001.2009.03560

Citation Source

  • Scopus