Literature DB >> 23595825

Imaging of pharmacokinetic rates of indocyanine green in mouse liver with a hybrid fluorescence molecular tomography/x-ray computed tomography system.

Guanglei Zhang1, Fei Liu, Bin Zhang, Yun He, Jianwen Luo, Jing Bai.   

Abstract

Pharmacokinetic rates have the potential to provide quantitative physiological and pathological information for biological studies and drug development. Fluorescence molecular tomography (FMT) is an attractive imaging tool for three-dimensionally resolving fluorophore distribution in small animals. In this letter, pharmacokinetic rates of indocyanine green (ICG) in mouse liver are imaged with a hybrid FMT and x-ray computed tomography (XCT) system. A recently developed FMT method using structural priors from an XCT system is adopted to improve the quality of FMT reconstruction. In the in vivo experiments, images of uptake and excretion rates of ICG in mouse liver are obtained, which can be used to quantitatively evaluate liver function. The accuracy of the results is validated by a fiber-based fluorescence measurement system.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23595825     DOI: 10.1117/1.JBO.18.4.040505

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  17 in total

1.  In vivo cellular-level real-time pharmacokinetic imaging of free-form and liposomal indocyanine green in liver.

Authors:  Yoonha Hwang; Hwanjun Yoon; Kibaek Choe; Jinhyo Ahn; Jik Han Jung; Ji-Ho Park; Pilhan Kim
Journal:  Biomed Opt Express       Date:  2017-09-26       Impact factor: 3.732

2.  Acceleration of dynamic fluorescence molecular tomography with principal component analysis.

Authors:  Guanglei Zhang; Wei He; Huangsheng Pu; Fei Liu; Maomao Chen; Jing Bai; Jianwen Luo
Journal:  Biomed Opt Express       Date:  2015-05-08       Impact factor: 3.732

3.  Automatic selection of regularization parameters for dynamic fluorescence molecular tomography: a comparison of L-curve and U-curve methods.

Authors:  Maomao Chen; Han Su; Yuan Zhou; Chuangjian Cai; Dong Zhang; Jianwen Luo
Journal:  Biomed Opt Express       Date:  2016-11-09       Impact factor: 3.732

4.  Parameterized level-set based pharmacokinetic fluorescence optical tomography using the regularized Gauss-Newton filter.

Authors:  Omprakash Gottam; Naren Naik; Sanjay Gambhir
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

5.  Fluorescence molecular tomography of DiR-labeled mesenchymal stem cell implants for osteochondral defect repair in rabbit knees.

Authors:  Markus T Berninger; Pouyan Mohajerani; Melanie Kimm; Stephan Masius; Xiaopeng Ma; Moritz Wildgruber; Bernhard Haller; Martina Anton; Andreas B Imhoff; Vasilis Ntziachristos; Tobias D Henning; Reinhard Meier
Journal:  Eur Radiol       Date:  2016-06-21       Impact factor: 5.315

6.  Self-prior strategy for organ reconstruction in fluorescence molecular tomography.

Authors:  Yuan Zhou; Maomao Chen; Han Su; Jianwen Luo
Journal:  Biomed Opt Express       Date:  2017-09-25       Impact factor: 3.732

7.  In Vivo Pharmacokinetics Assessment of Indocyanine Green-Loaded Nanoparticles in Tumor Tissue with a Dynamic Diffuse Fluorescence Tomography System.

Authors:  Yanqi Zhang; Limin Zhang; Guoyan Yin; Wenjuan Ma; Jiao Li; Zhongxing Zhou; Feng Gao
Journal:  Mol Imaging Biol       Date:  2019-12       Impact factor: 3.488

8.  Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method.

Authors:  Guanglei Zhang; Fei Liu; Jie Liu; Jianwen Luo; Yaoqin Xie; Jing Bai; Lei Xing
Journal:  IEEE Trans Med Imaging       Date:  2016-08-26       Impact factor: 10.048

9.  Methods for detecting host genetic modifiers of tumor vascular function using dynamic near-infrared fluorescence imaging.

Authors:  Jaidip Jagtap; Gayatri Sharma; Abdul K Parchur; Venkateswara Gogineni; Carmen Bergom; Sarah White; Michael J Flister; Amit Joshi
Journal:  Biomed Opt Express       Date:  2018-01-09       Impact factor: 3.732

10.  Validation of fluorescence molecular tomography/micro-CT multimodal imaging in vivo in rats.

Authors:  Daniel Vonwil; Jon Christensen; Sascha Fischer; Olaf Ronneberger; V Prasad Shastri
Journal:  Mol Imaging Biol       Date:  2014-06       Impact factor: 3.488

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.