Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm

Song, Xiaolei; Wang, Daifa; Chen, Nanguang; Bai, Jing; Wang, Hongkai

doi:10.1364/oe.15.018300

Cited by 123 publications

(84 citation statements)

References 32 publications

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“…The phantom with the size of a 30 mm diameter and 30 mm height contained a small cylinder with a 4 mm diameter and 4 mm height to represent the nanophosphors, whose centers were set to (15,15,20) mm, (15, 11.25, 20) mm, (15, 7.5, 20) and (15, 3.75, 20) mm respectively, as shown in Figs 3 (a), (b), (c) and (d). The cylinder phantom was applied to mimic the muscle tissue, whose absorption and reduced scattering coefficients of the phantom were set to 0.013 mm −1 and 0.93 mm −1 respectively [36]. The X-ray attenuation coefficient was set to 0.0475 mm −1 [37].…”

Section: Simulation Studymentioning

confidence: 99%

X-ray luminescence computed tomography imaging based on X-ray distribution model and adaptively split Bregman method

Chen

Zhu

Cao

et al. 2015

Biomed. Opt. Express

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Abstract:X-ray luminescence computed tomography (XLCT) has become a promising imaging technology for biological application based on phosphor nanoparticles. There are mainly three kinds of XLCT imaging systems: pencil beam XLCT, narrow beam XLCT and cone beam XLCT. Narrow beam XLCT can be regarded as a balance between the pencil beam mode and the cone-beam mode in terms of imaging efficiency and image quality. The collimated X-ray beams are assumed to be parallel ones in the traditional narrow beam XLCT. However, we observe that the cone beam X-rays are collimated into X-ray beams with fan-shaped broadening instead of parallel ones in our prototype narrow beam XLCT. Hence we incorporate the distribution of the X-ray beams in the physical model and collected the optical data from only two perpendicular directions to further speed up the scanning time. Meanwhile we propose a depth related adaptive regularized split Bregman (DARSB) method in reconstruction. The simulation experiments show that the proposed physical model and method can achieve better results in the location error, dice coefficient, mean square error and the intensity error than the traditional split Bregman method and validate the feasibility of method. The phantom experiment can obtain the location error less than 1.1 mm and validate that the incorporation of fan-shaped X-ray beams in our model can achieve better results than the parallel X-rays. Yang, and J. Tian, "A trust region method in adaptive finite element framework for bioluminescence tomography," Opt. Express 18(7), 6477-6491 (2010). 34. L. R. Dice, "Measures of the amount of ecologic association between species," Ecology 26(3), 297-302 (1945). 35. J. Zhang, D. Chen, J. Liang, H. Xue, J. Lei, Q. Wang, D. Chen, M. Meng, Z. Jin, and J. Tian, "Incorporating mri structural information into bioluminescence tomography: system, heterogeneous reconstruction and in vivo quantification," Biomed.

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Section: Simulation Studymentioning

confidence: 99%

X-ray luminescence computed tomography imaging based on X-ray distribution model and adaptively split Bregman method

Chen

Zhu

Cao

et al. 2015

Biomed. Opt. Express

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“…More background and details can be found in [4,7,26,27]. Hence the linear relationship between the measured photon density distribution and the unknown fluorescent source distribution has been established, and can improve computational efficiency.…”

Section: Linear Relationship Establishmentmentioning

confidence: 99%

“…However, it is challenging for FMT to reconstruct the fluorescence biodistribution effectively and robustly [6], because FMT presents a challenging inverse problem which is quite ill-posed or ill-conditioned due to the following three reasons [6,7]:…”

Section: Introductionmentioning

confidence: 99%

Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method

Ye¹,

Chi²,

Xue³

et al. 2014

Biomed. Opt. Express

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Fluorescence molecular tomography (FMT), as a promising imaging modality, can three-dimensionally locate the specific tumor position in small animals. However, it remains challenging for effective and robust reconstruction of fluorescent probe distribution in animals. In this paper, we present a novel method based on sparsity adaptive subspace pursuit (SASP) for FMT reconstruction. Some innovative strategies including subspace projection, the bottom-up sparsity adaptive approach, and backtracking technique are associated with the SASP method, which guarantees the accuracy, efficiency, and robustness for FMT reconstruction. Three numerical experiments based on a mouse-mimicking heterogeneous phantom have been performed to validate the feasibility of the SASP method. The results show that the proposed SASP method can achieve satisfactory source localization with a bias less than 1mm; the efficiency of the method is much faster than mainstream reconstruction methods; and this approach is robust even under quite ill-posed condition. Furthermore, we have applied this method to an in vivo mouse model, and the results demonstrate the feasibility of the practical FMT application with the SASP method.

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“…5 Lately, combined with the development of versatile fluorescent probes, especially the near-infrared fluorescent (NIRF) probes, fluorescence molecular tomography (FMT) is becoming a promising tool to noninvasively resolve threedimensional (3D) spatial distribution of fluorescence probes associated with molecular and cellular functions. 6 On the other hand, MRI provides high spatial resolution with outstanding contrast features in soft tissues, 7 3D anatomic details throughout the body, and has been widely used in clinical oncology imaging. 8 Novel contrast agents that modulate T 1 and T 2 relaxation have also rendered MRI a tool for visualizing cellular and subcellular events.…”

Section: Introductionmentioning

confidence: 99%

“…25 A 3D solid model was constructed using this information, and then discretized into finite elements in order to calculate the light transportation using the finite elements method (FEM). 26,27 The weight matrix was subsequently established by mapping the excitation light and the fluorescent images of each angle into the corresponding position of the finite element meshes. Finally, the algebraic reconstruction technique (ART) method was adopted to reconstruct the 3D dual-labeled NP distribution.…”

mentioning

confidence: 99%

In vivo tomographic imaging with fluorescence and MRI using tumor-targeted dual-labeled nanoparticles

Zhang¹,

Zhang²,

Liu³

et al. 2013

IJN

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Dual-modality imaging combines the complementary advantages of different modalities, and offers the prospect of improved preclinical research. The combination of fluorescence imaging and magnetic resonance imaging (MRI) provides cross-validated information and direct comparison between these modalities. Here, we report on the application of a novel tumor-targeted, dual-labeled nanoparticle (NP), utilizing iron oxide as the MRI contrast agent and near infrared (NIR) dye Cy5.5 as the fluorescent agent. Results of in vitro experiments verified the specificity of the NP to tumor cells. In vivo tumor targeting and uptake of the NPs in a mouse model were visualized by fluorescence and MR imaging collected at different time points. Quantitative analysis was carried out to evaluate the efficacy of MRI contrast enhancement. Furthermore, tomographic images were also acquired using both imaging modalities and cross-validated information of tumor location and size between these two modalities was revealed. The results demonstrate that the use of dual-labeled NPs can facilitate the dual-modal detection of tumors, information cross-validation, and direct comparison by combing fluorescence molecular tomography (FMT) and MRI.

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Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm

Cited by 123 publications

References 32 publications

X-ray luminescence computed tomography imaging based on X-ray distribution model and adaptively split Bregman method

X-ray luminescence computed tomography imaging based on X-ray distribution model and adaptively split Bregman method

Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method

In vivo tomographic imaging with fluorescence and MRI using tumor-targeted dual-labeled nanoparticles

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