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Diffuse optical tomography guided adaptive reconstruction in fluorescence molecular tomography

[+] Author Affiliations
Mingze Li

Tsinghua University, Department of Biomedical Engineering, Beijing 100084, China

Fei Liu

Tsinghua University, Department of Biomedical Engineering, Beijing 100084, China

Bin Zhang

Tsinghua University, Department of Biomedical Engineering, Beijing 100084, China

Jing Bai

Tsinghua University, Department of Biomedical Engineering, Beijing 100084, China

J. Electron. Imaging. 21(2), 023014 (Jun 22, 2012). doi:10.1117/1.JEI.21.2.023014
History: Received May 27, 2011; Revised March 1, 2012; Accepted April 20, 2012
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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.

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Citation

Mingze Li ; Fei Liu ; Bin Zhang and Jing Bai
"Diffuse optical tomography guided adaptive reconstruction in fluorescence molecular tomography", J. Electron. Imaging. 21(2), 023014 (Jun 22, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.023014


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