In vivo mouse studies with bioluminescence tomography

Wang, Ge; Cong, Wenxiang; Durairaj, Kumar; Qian, X.; Shen, Haiou; Sinn, Patrick L.; Hoffman, Eric A.; McLennan, Geoffrey; Henry, Michael D.

doi:10.1364/oe.14.007801

Cited by 166 publications

(135 citation statements)

References 16 publications

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“…Moreover, it conveys information of the anatomical location as well as the bioluminescence signal of the tumor in a stereoscopic view. In our previous studies, BLT was able to reconstruct three-dimensional bioluminescence distribution and provide accurate quantification of the source signal on the basis of appropriate reconstruction algorithm combination of the micro-CT guide (27,(36)(37)(38)(39)(40)(41). In this study, we utilized BLT to reconstruct morphological appearance and quantify the signal intensity on day 2 and day 21, respectively.…”

Section: Discussionmentioning

confidence: 99%

Real-time bioluminescence and tomographic imaging of gastric cancer in a novel orthotopic mouse model

Liu

Yao

et al. 2012

Oncol Rep

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Abstract. Gastric cancer is the second leading cause of cancer mortality worldwide. Understanding the multistep process of carcinogenesis of gastric cancer is pivotal to develop novel therapeutic strategies. Molecular imaging in preclinical cancer models bridges the gap of laboratory-based experiment and clinical translation. To this end, the human gastric cancer cell line SGC-7901 was established to stably express luciferase and GFP by lentiviral transduction (SGC7901-Luc-GFP). Preclinical models were developed by orthotopic transplantation of SGC-7901-Luc-GFP into the sub-serosal layer of the stomach of immunocompromised mice. Tumor progression and therapeutic responses were dynamically tracked by bioluminescence imaging (BLI). Bioluminescence tomography (BLT) was used to monitor stereoscopic morphological and signal changes during tumor progression. Good correlation between cell number and bio luminescence/ fluorescence intensity was observed (R 2 =0.9983/r 2 =0.9974) in vitro. Tumor progression and therapeutic response could be successfully followed directly by BLI. Importantly, BLT provided a more accurate spatial location and tomographic quantification of the internal lesion. In conclusion, our novel bioluminescence-based preclinical gastric cancer models enable superior, noninvasive monitoring gastric cancer progression and their drug responses. The BLT technique in particular, may have great potential for future oncological studies.

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Section: Discussionmentioning

confidence: 99%

Real-time bioluminescence and tomographic imaging of gastric cancer in a novel orthotopic mouse model

Liu

Yao

et al. 2012

Oncol Rep

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“…Based on the imaging and reconstruction model, the distribution and concentration of the nanophosphors inside imaging object can be resolved. Compared with other optical molecular imaging such as bioluminescence tomography (BLT) [5][6][7] and fluorescence molecular tomography (FMT) [8][9][10], XLCT has several advantages with the use of X-rays. Firstly, X-ray can penetrate the imaging object easily and provide more information deep inside the object.…”

Section: Introductionmentioning

confidence: 99%

Resolving adjacent nanophosphors of different concentrations by excitation-based cone-beam X-ray luminescence tomography

Gao

Rong

et al. 2017

Biomed. Opt. Express

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Cone-beam X-ray luminescence computed tomography (CB-XLCT) has been proposed as a new molecular imaging modality recently. It can obtain both anatomical and functional tomographic images of an object efficiently, with the excitation of nanophosphors in vivo or in vitro by cone-beam X-rays. However, the ill-posedness of the CB-XLCT inverse problem degrades the image quality and makes it difficult to resolve adjacent luminescent targets with different concentrations, which is essential in the monitoring of nanoparticle metabolism and drug delivery. To address this problem, a multi-voltage excitation imaging scheme combined with principal component analysis is proposed in this study. Imaging experiments performed on physical phantoms by a custom-made CB-XLCT system demonstrate that two adjacent targets, with different concentrations and an edge-to-edge distance of 0 mm, can be effectively resolved. and l2-norm for two imaging models of fluorescence molecular tomography: a comparative study," J.

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“…BLT is capable of three dimensional (3D) recovery of the location and concentration of the optical probe inside a small living animal from the detected light signal on the surface. However, BLT is a severely undetermined and inherent ill-posed problem, which usually requires additional information to obtain meaningful quantitative reconstruction [6][7][8][9][10]. The optical property uncertainty of the tissue also has a great effect on BLT reconstruction [11].…”

Section: Introductionmentioning

confidence: 99%

Multi-atlas registration and adaptive hexahedral voxel discretization for fast bioluminescence tomography

Ren

et al. 2016

Biomed. Opt. Express

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Bioluminescence tomography (BLT) has been a valuable optical molecular imaging technique to non-invasively depict the cellular and molecular processes in living animals with high sensitivity and specificity. Due to the inherent ill-posedness of BLT, a priori information of anatomical structure is usually incorporated into the reconstruction. The structural information is usually provided by computed tomography (CT) or magnetic resonance imaging (MRI). In order to obtain better quantitative results, BLT reconstruction with heterogeneous tissues needs to segment the internal organs and discretize them into meshes with the finite element method (FEM). It is time-consuming and difficult to handle the segmentation and discretization problems. In this paper, we present a fast reconstruction method for BLT based on multi-atlas registration and adaptive voxel discretization to relieve the complicated data processing procedure involved in the hybrid BLT/CT system. A multi-atlas registration method is first adopted to estimate the internal organ distribution of the imaged animal. Then, the animal volume is adaptively discretized into hexahedral voxels, which are fed into FEM for the following BLT reconstruction. The proposed method is validated in both numerical simulation and an in vivo study. The results demonstrate that the proposed method can reconstruct the bioluminescence source efficiently with satisfactory accuracy. Chen, J. Liang, F. Cao, and J. Tian, "In vivo quantitative bioluminescence tomography using heterogeneous and homogeneous mouse models," Opt.

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In vivo mouse studies with bioluminescence tomography

Cited by 166 publications

References 16 publications

Real-time bioluminescence and tomographic imaging of gastric cancer in a novel orthotopic mouse model

Real-time bioluminescence and tomographic imaging of gastric cancer in a novel orthotopic mouse model

Resolving adjacent nanophosphors of different concentrations by excitation-based cone-beam X-ray luminescence tomography

Multi-atlas registration and adaptive hexahedral voxel discretization for fast bioluminescence tomography

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