Hybrid μCT-FMT imaging and image analyses

Felix Gremse, Dennis Doleschel, Sara Zafarnia, Anne Babler, Willi Jahnen-Dechent, Twan Lammers, Wiltrud Lederle, Fabian Kiessling

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Abstract

We describe a protocol for hybrid imaging, combining fluorescence-mediated tomography (FMT) with micro computed tomography (µCT). After fusion and reconstruction, we perform interactive organ segmentation to extract quantitative measurements of the fluorescence distribution. 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.
Original languageEnglish
Article numbere52770
Number of pages7
JournalJournal of visualized experiments
Volume100
DOIs
Publication statusPublished - 2015

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Tomography
Fluorescence
Imaging techniques
Multimodal Imaging
Molecular Probes
Reporter Genes
Image analysis
Disease Progression
Bone
Image processing
Fusion reactions
Genes
Joints
Bone and Bones
Chemical analysis

Keywords

  • METIS-315268
  • IR-99946

Cite this

Gremse, F., Doleschel, D., Zafarnia, S., Babler, A., Jahnen-Dechent, W., Lammers, T., ... Kiessling, F. (2015). Hybrid μCT-FMT imaging and image analyses. Journal of visualized experiments, 100, [e52770]. https://doi.org/10.3791/52770
Gremse, Felix ; Doleschel, Dennis ; Zafarnia, Sara ; Babler, Anne ; Jahnen-Dechent, Willi ; Lammers, Twan ; Lederle, Wiltrud ; Kiessling, Fabian. / Hybrid μCT-FMT imaging and image analyses. In: Journal of visualized experiments. 2015 ; Vol. 100.
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Gremse, F, Doleschel, D, Zafarnia, S, Babler, A, Jahnen-Dechent, W, Lammers, T, Lederle, W & Kiessling, F 2015, 'Hybrid μCT-FMT imaging and image analyses' Journal of visualized experiments, vol. 100, e52770. https://doi.org/10.3791/52770

Hybrid μCT-FMT imaging and image analyses. / Gremse, Felix; Doleschel, Dennis; Zafarnia, Sara; Babler, Anne; Jahnen-Dechent, Willi; Lammers, Twan; Lederle, Wiltrud; Kiessling, Fabian.

In: Journal of visualized experiments, Vol. 100, e52770, 2015.

Research output: Contribution to journalArticleAcademicpeer-review

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T1 - Hybrid μCT-FMT imaging and image analyses

AU - Gremse, Felix

AU - Doleschel, Dennis

AU - Zafarnia, Sara

AU - Babler, Anne

AU - Jahnen-Dechent, Willi

AU - Lammers, Twan

AU - Lederle, Wiltrud

AU - Kiessling, Fabian

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AB - We describe a protocol for hybrid imaging, combining fluorescence-mediated tomography (FMT) with micro computed tomography (µCT). After fusion and reconstruction, we perform interactive organ segmentation to extract quantitative measurements of the fluorescence distribution. 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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Gremse F, Doleschel D, Zafarnia S, Babler A, Jahnen-Dechent W, Lammers T et al. Hybrid μCT-FMT imaging and image analyses. Journal of visualized experiments. 2015;100. e52770. https://doi.org/10.3791/52770