Literature DB >> 27868394

Sensitivity and accuracy of hybrid fluorescence-mediated tomography in deep tissue regions.

Stefanie Rosenhain1, Wa'el Al Rawashdeh1, Fabian Kiessling1, Felix Gremse1.   

Abstract

Fluorescence-mediated tomography (FMT) enables noninvasive assessment of the three-dimensional distribution of near-infrared fluorescence in mice. The combination with micro-computed tomography (µCT) provides anatomical data, enabling improved fluorescence reconstruction and image analysis. The aim of our study was to assess sensitivity and accuracy of µCT-FMT under realistic in vivo conditions in deeply-seated regions. Accordingly, we acquired fluorescence reflectance images (FRI) and µCT-FMT scans of mice which were prepared with rectal insertions with different amounts of fluorescent dye. Default and high-sensitivity scans were acquired and background signal was analyzed for three FMT channels (670 nm, 745 nm, and 790 nm). Analysis was performed for the original and an improved FMT reconstruction using the µCT data. While FRI and the original FMT reconstruction could detect 100 pmol, the improved FMT reconstruction could detect 10 pmol and significantly improved signal localization. By using a finer sampling grid and increasing the exposure time, the sensitivity could be further improved to detect 0.5 pmol. Background signal was highest in the 670 nm channel and most prominent in the gastro-intestinal tract and in organs with high relative amounts of blood. In conclusion, we show that µCT-FMT allows sensitive and accurate assessment of fluorescence in deep tissue regions.
© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  NIRF-imaging; Sensitivity; autofluorescence; computed tomography; fluorescence quantification; fluorescence-mediated tomography; image segmentation; multimodal imaging

Mesh:

Substances:

Year:  2016        PMID: 27868394     DOI: 10.1002/jbio.201600232

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  5 in total

1.  Data Curation for Preclinical and Clinical Multimodal Imaging Studies.

Authors:  Grace Gyamfuah Yamoah; Liji Cao; Chao Wu Wu; Freek J Beekman; Bert Vandeghinste; Julia G Mannheim; Stefanie Rosenhain; Kevin Leonardic; Fabian Kiessling; Felix Gremse
Journal:  Mol Imaging Biol       Date:  2019-12       Impact factor: 3.488

Review 2.  Standardization of Small Animal Imaging-Current Status and Future Prospects.

Authors:  Julia G Mannheim; Firat Kara; Janine Doorduin; Kerstin Fuchs; Gerald Reischl; Sayuan Liang; Marleen Verhoye; Felix Gremse; Laura Mezzanotte; Marc C Huisman
Journal:  Mol Imaging Biol       Date:  2018-10       Impact factor: 3.488

3.  Noninvasive Assessment of Elimination and Retention using CT-FMT and Kinetic Whole-body Modeling.

Authors:  Wa'el Al Rawashdeh; Simin Zuo; Andrea Melle; Lia Appold; Susanne Koletnik; Yoanna Tsvetkova; Nataliia Beztsinna; Andrij Pich; Twan Lammers; Fabian Kiessling; Felix Gremse
Journal:  Theranostics       Date:  2017-04-05       Impact factor: 11.556

4.  In vivo fluorescence molecular tomography of induced haemarthrosis in haemophilic mice: link between bleeding characteristics and development of bone pathology.

Authors:  K K Vøls; M Kjelgaard-Hansen; C D Ley; A K Hansen; M Petersen
Journal:  BMC Musculoskelet Disord       Date:  2020-04-14       Impact factor: 2.362

5.  Mixing Matrix-corrected Whole-body Pharmacokinetic Modeling Using Longitudinal Micro-computed Tomography and Fluorescence-mediated Tomography.

Authors:  Simin Zuo; Wa'el Al Rawashdeh; Stefanie Rosenhain; Zuzanna Magnuska; Yamoah Grace Gyamfuah; Fabian Kiessling; Felix Gremse
Journal:  Mol Imaging Biol       Date:  2021-07-06       Impact factor: 3.488

  5 in total

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