Diffuse optical tomography guided adaptive reconstruction in fluorescence molecular tomography

Mingze Li; Fei Liu; Bin Zhang; Jing Bai

doi:10.1117/1.JEI.21.2.023014

22 June 2012 Diffuse optical tomography guided adaptive reconstruction in fluorescence molecular tomography

Mingze Li, Fei Liu, Bin Zhang, Jing Bai

Author Affiliations +

Funded by: National Basic Research Program of China, National Program on Key Basic Research Projects, National Basic Research Program of China (973), Equipment Development Project, National Major Scientific Instrument and Equipment Development, National Major Scientific Instrument and Equipment Development Project, National Major Scientific Instrument Equipment Development Project, National Key Instrumentation Development Project, National Major Scientific Instrument Equipment Development, National Major Scientific Instrument and Equipment Development Project under Grant, National Natural Science Foundation of China, NSFC, National Natural Science Foundation of China unde, Natural Science Foundation, Natural Science Foundation Grant

Journal of Electronic Imaging, Vol. 21, Issue 2, 023014 (June 2012). https://doi.org/10.1117/1.JEI.21.2.023014

Abstract

The adaptive finite element method (AFEM) is an effective way to retain enough resolution in selected regions while improving computational efficiency for reconstruction in fluorescent molecular tomography (FMT). In addition, background optical properties acquired by diffuse optical tomography (DOT) will improve the quality of reconstructed images. In this work, a DOT-guided adaptive reconstruction method (DGARM) is proposed, in which DOT is introduced into an adaptive reconstruction framework of FMT. Besides being used as functional a priori information in the forward modeling, the reconstructed local absorption coefficients in DOT are also used to form internal structural a priori information, which is further used to identify regions of interest (ROIs) in the mesh refinement of the adaptive procedure. Because optical properties are recovered before the formulation of FMT, a linear relationship is established between the fluorescent field and boundary measurements. We implemented numerical simulations and physical experiments to evaluate the performance of the algorithm. Compared with the strategies of uniform meshing with DOT and AFEM without DOT, DGAM improves localization accuracy of the reconstruction of fluorescence inclusion.

Citation Download Citation

Mingze Li, Fei Liu, Bin Zhang, and Jing Bai "Diffuse optical tomography guided adaptive reconstruction in fluorescence molecular tomography," Journal of Electronic Imaging 21(2), 023014 (22 June 2012). https://doi.org/10.1117/1.JEI.21.2.023014

Published: 22 June 2012

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