2015
DOI: 10.1109/access.2015.2402673
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Performance Evaluation of <italic>a Priori</italic> Information on Reconstruction of Fluorescence Molecular Tomography

Abstract: Fluorescence molecular tomography (FMT) plays an important role in in vivo small animal imaging. However, due to the diffusive nature of photon propagation in biological tissues, FMT suffers from a low spatial resolution, which limits its capability of resolving the distribution of fluorescent biomarkers. In this paper, we investigate the effect of functional and structural a priori information on the accuracy of FMT reconstruction by a hybrid FMT and X-ray computed tomography imaging system. The results from … Show more

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Cited by 8 publications
(2 citation statements)
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References 30 publications
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“…A quantitative three-dimensional reconstruction of FMT can be implemented where the distribution of optical properties is obtained by diffusion optical tomography (DOT) [19]. Liu et al present further studies on the effect of functional and structural a priori information on the accuracy of FMT [20]. Feasible region could reduce the scale of matrix equation of the inverse problem significantly, and it is also helpful for improving the quality of final results [2128].…”
Section: Introductionmentioning
confidence: 99%
“…A quantitative three-dimensional reconstruction of FMT can be implemented where the distribution of optical properties is obtained by diffusion optical tomography (DOT) [19]. Liu et al present further studies on the effect of functional and structural a priori information on the accuracy of FMT [20]. Feasible region could reduce the scale of matrix equation of the inverse problem significantly, and it is also helpful for improving the quality of final results [2128].…”
Section: Introductionmentioning
confidence: 99%
“…To alleviate the ill-posedness of FMT, some a priori information, such as anatomical information, optical properties, permissible region, and sparsity of target distribution, has been successfully incorporated in FMT reconstruction [47]. In addition, many regularization techniques have also been devoted to get an accurate and stable solution.…”
Section: Introductionmentioning
confidence: 99%