Literature DB >> 23344841

Fluorescence molecular tomography of an animal model using structured light rotating view acquisition.

Nicolas Ducros, Andrea Bassi, Gianluca Valentini, Gianfranco Canti, Simon Arridge, Cosimo D'Andrea.   

Abstract

In recent years, an increasing effort has been devoted to the optimization of acquisition and reconstruction schemes for fluorescence molecular tomography (FMT). In particular, wide-field structured illumination and compression of the measured images have enabled significant reduction of the data set and, consequently, a decrease in both acquisition and processing times. FMT based on this concept has been recently demonstrated on a cylindrical phantom with a rotating-view scheme that significantly increases the reconstruction quality. In this work, we generalize the rotating-view scheme to arbitrary geometries and experimentally demonstrate its applicability to murine models. To the best of our knowledge this is the first time that FMT based on a rotating-view scheme with structured illumination and image compression has been applied to animals.

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Year:  2013        PMID: 23344841     DOI: 10.1117/1.JBO.18.2.020503

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


  10 in total

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2.  Tomographic phosphorescence lifetime multiplexing.

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5.  Coupled forward-adjoint Monte Carlo simulation of spatial-angular light fields to determine optical sensitivity in turbid media.

Authors:  Adam R Gardner; Carole K Hayakawa; Vasan Venugopalan
Journal:  J Biomed Opt       Date:  2014-06       Impact factor: 3.170

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8.  Multimodal molecular 3D imaging for the tumoral volumetric distribution assessment of folate-based biosensors.

Authors:  Gerardo J Ramírez-Nava; Clara L Santos-Cuevas; Isaac Chairez; Liliana Aranda-Lara
Journal:  Med Biol Eng Comput       Date:  2017-12-01       Impact factor: 2.602

9.  Spatial frequency domain imaging in 2019: principles, applications, and perspectives.

Authors:  Sylvain Gioux; Amaan Mazhar; David J Cuccia
Journal:  J Biomed Opt       Date:  2019-06       Impact factor: 3.170

10.  Temporal Data Set Reduction Based on D-Optimality for Quantitative FLIM-FRET Imaging.

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Journal:  PLoS One       Date:  2015-12-11       Impact factor: 3.240

  10 in total

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