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Hybrid µCT-FMT imaging and image analysis

Fluorescence-mediated tomography (FMT) enables longitudinal and quantitative determination of the fluorescence distribution in vivo and can be used to assess the biodistribution of novel probes and to assess disease progression using established molecular probes or reporter genes. The combination wi...

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Autores principales: Gremse, Felix, Doleschel, Dennis, Zafarnia, Sara, Babler, Anne, Jahnen-Dechent, Willi, Lammers, Twan, Lederle, Wiltrud, Kiessling, Fabian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MyJove Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512251/
https://www.ncbi.nlm.nih.gov/pubmed/26066033
http://dx.doi.org/10.3791/52770
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author Gremse, Felix
Doleschel, Dennis
Zafarnia, Sara
Babler, Anne
Jahnen-Dechent, Willi
Lammers, Twan
Lederle, Wiltrud
Kiessling, Fabian
author_facet Gremse, Felix
Doleschel, Dennis
Zafarnia, Sara
Babler, Anne
Jahnen-Dechent, Willi
Lammers, Twan
Lederle, Wiltrud
Kiessling, Fabian
author_sort Gremse, Felix
collection PubMed
description Fluorescence-mediated tomography (FMT) enables longitudinal and quantitative determination of the fluorescence distribution in vivo and can be used to assess the biodistribution of novel probes and to assess disease progression using established molecular probes or reporter genes. The combination with an anatomical modality, e.g., micro computed tomography (µCT), is beneficial for image analysis and for fluorescence reconstruction. We describe a protocol for multimodal µCT-FMT imaging including the image processing steps necessary to extract quantitative measurements. After preparing the mice and performing the imaging, the multimodal data sets are registered. Subsequently, an improved fluorescence reconstruction is performed, which takes into account the shape of the mouse. For quantitative analysis, organ segmentations are generated based on the anatomical data using our interactive segmentation tool. Finally, the biodistribution curves are generated using a batch-processing feature. We show the applicability of the method by assessing the biodistribution of a well-known probe that binds to bones and joints.
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spelling pubmed-45122512015-07-30 Hybrid µCT-FMT imaging and image analysis Gremse, Felix Doleschel, Dennis Zafarnia, Sara Babler, Anne Jahnen-Dechent, Willi Lammers, Twan Lederle, Wiltrud Kiessling, Fabian J Vis Exp Bioengineering Fluorescence-mediated tomography (FMT) enables longitudinal and quantitative determination of the fluorescence distribution in vivo and can be used to assess the biodistribution of novel probes and to assess disease progression using established molecular probes or reporter genes. The combination with an anatomical modality, e.g., micro computed tomography (µCT), is beneficial for image analysis and for fluorescence reconstruction. We describe a protocol for multimodal µCT-FMT imaging including the image processing steps necessary to extract quantitative measurements. After preparing the mice and performing the imaging, the multimodal data sets are registered. Subsequently, an improved fluorescence reconstruction is performed, which takes into account the shape of the mouse. For quantitative analysis, organ segmentations are generated based on the anatomical data using our interactive segmentation tool. Finally, the biodistribution curves are generated using a batch-processing feature. We show the applicability of the method by assessing the biodistribution of a well-known probe that binds to bones and joints. MyJove Corporation 2015-06-04 /pmc/articles/PMC4512251/ /pubmed/26066033 http://dx.doi.org/10.3791/52770 Text en Copyright © 2015, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Bioengineering
Gremse, Felix
Doleschel, Dennis
Zafarnia, Sara
Babler, Anne
Jahnen-Dechent, Willi
Lammers, Twan
Lederle, Wiltrud
Kiessling, Fabian
Hybrid µCT-FMT imaging and image analysis
title Hybrid µCT-FMT imaging and image analysis
title_full Hybrid µCT-FMT imaging and image analysis
title_fullStr Hybrid µCT-FMT imaging and image analysis
title_full_unstemmed Hybrid µCT-FMT imaging and image analysis
title_short Hybrid µCT-FMT imaging and image analysis
title_sort hybrid µct-fmt imaging and image analysis
topic Bioengineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512251/
https://www.ncbi.nlm.nih.gov/pubmed/26066033
http://dx.doi.org/10.3791/52770
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