Literature DB >> 19041402

Hybrid FMT-CT imaging of amyloid-beta plaques in a murine Alzheimer's disease model.

Damon Hyde1, Ruben de Kleine, Sarah A MacLaurin, Eric Miller, Dana H Brooks, Thomas Krucker, Vasilis Ntziachristos.   

Abstract

The need to study molecular and functional parameters of Alzheimer's disease progression in animal models has led to the development of disease-specific fluorescent markers. However, curved optical interfaces and a highly heterogeneous internal structure make quantitative fluorescence imaging of the murine brain a particularly challenging tomographic problem. We investigated the integration of X-ray computed tomography (CT) information into a state-of-the-art fluorescence molecular tomography (FMT) scheme and establish that the dual-modality approach is essential for high fidelity reconstructions of distributed fluorescence within the murine brain, as compared to conventional fluorescence tomography. We employ this method in vivo using a fluorescent oxazine dye to quantify amyloid-beta plaque burden in transgenic APP23 mice modeling Alzheimer's disease. Multi-modal imaging allows for accurate signal localization and correlation of in vivo findings to ex vivo studies. The results point to FMT-CT as an essential tool for in vivo study of neurodegenerative disease in animal models and potentially humans.

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Year:  2008        PMID: 19041402     DOI: 10.1016/j.neuroimage.2008.10.038

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  37 in total

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2.  Construction of the Jacobian matrix for fluorescence diffuse optical tomography using a perturbation Monte Carlo method.

Authors:  Xiaofeng Zhang
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2012-02-13

3.  FMT-XCT: in vivo animal studies with hybrid fluorescence molecular tomography-X-ray computed tomography.

Authors:  Angelique Ale; Vladimir Ermolayev; Eva Herzog; Christian Cohrs; Martin Hrabé de Angelis; Vasilis Ntziachristos
Journal:  Nat Methods       Date:  2012-05-06       Impact factor: 28.547

Review 4.  Image-guided cancer surgery using near-infrared fluorescence.

Authors:  Alexander L Vahrmeijer; Merlijn Hutteman; Joost R van der Vorst; Cornelis J H van de Velde; John V Frangioni
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Review 5.  Preclinical imaging: an essential ally in modern biosciences.

Authors:  Lídia Cunha; Ildiko Horvath; Sara Ferreira; Joana Lemos; Pedro Costa; Domingos Vieira; Dániel S Veres; Krisztián Szigeti; Teresa Summavielle; Domokos Máthé; Luís F Metello
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6.  Experimental evaluation of the resolution and quantitative accuracy of temperature-modulated fluorescence tomography.

Authors:  Tiffany C Kwong; Farouk Nouizi; Yuting Lin; Jaedu Cho; Yue Zhu; Uma Sampathkumaran; Gultekin Gulsen
Journal:  Appl Opt       Date:  2017-01-20       Impact factor: 1.980

7.  NIRViz: 3D visualization software for multimodality optical imaging using visualization toolkit (VTK) and insight segmentation toolkit (ITK).

Authors:  Senate Johannes Taka; Subhadra Srinivasan
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

Review 8.  Multifunctional Nanocarriers for diagnostics, drug delivery and targeted treatment across blood-brain barrier: perspectives on tracking and neuroimaging.

Authors:  Sonu Bhaskar; Furong Tian; Tobias Stoeger; Wolfgang Kreyling; Jesús M de la Fuente; Valeria Grazú; Paul Borm; Giovani Estrada; Vasilis Ntziachristos; Daniel Razansky
Journal:  Part Fibre Toxicol       Date:  2010-03-03       Impact factor: 9.400

9.  Shape-parameterized diffuse optical tomography holds promise for sensitivity enhancement of fluorescence molecular tomography.

Authors:  Linhui Wu; Wenbo Wan; Xin Wang; Zhongxing Zhou; Jiao Li; Limin Zhang; Huijuan Zhao; Feng Gao
Journal:  Biomed Opt Express       Date:  2014-09-16       Impact factor: 3.732

10.  Dynamic Measurement of Tumor Vascular Permeability and Perfusion using a Hybrid System for Simultaneous Magnetic Resonance and Fluorescence Imaging.

Authors:  Wuwei Ren; Andreas Elmer; David Buehlmann; Mark-Aurel Augath; Divya Vats; Jorge Ripoll; Markus Rudin
Journal:  Mol Imaging Biol       Date:  2016-04       Impact factor: 3.488

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