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Toward quantitative three-dimensional microvascular networks segmentation with multiview light-sheet fluorescence microscopy

Kennel, Pol and Teyssedre, Lise and Colombelli, Julien and Plouraboué, Franck Toward quantitative three-dimensional microvascular networks segmentation with multiview light-sheet fluorescence microscopy. (2018) Journal of Biomedical Optics, 23 (08). 1-15. ISSN 1083-3668

(Document in English)

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Official URL: http://doi.org/10.1117/1.JBO.23.8.086002


Three-dimensional (3-D) large-scale imaging of microvascular networks is of interest in various areas of biology and medicine related to structural, functional, developmental, and pathological issues. Light-sheet fluorescence microscopy (LSFM) techniques are rapidly spreading and are now on the way to offer operational solutions for large-scale tissue imaging. This contribution describes how reliable vessel segmentation can be handled from LSFM data in very large tissue volumes using a suitable image analysis workflow. Since capillaries are tubular objects of a few microns scale radius, they represent challenging structures to reliably reconstruct without distortion and artifacts. We provide a systematic analysis of multiview deconvolution image processing workflow to control and evaluate the accuracy of the reconstructed vascular network using various low to high level, metrics. We show that even if low-level structural metrics are sensitive to isotropic imaging enhancement provided by a larger number of views, functional high-level metrics, including perfusion permeability, are less sensitive. Hence, combining deconvolution and registration onto a few number of views appears sufficient for a reliable quantitative 3-D vessel segmentation for their possible use for perfusion modeling.

Item Type:Article
HAL Id:hal-02134653
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Laboratory name:
Region Occitanie - Grant No. 2016-[14050455]
Deposited On:21 Aug 2018 13:40

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