Pipeline for Tracking Neural Progenitor Cells

Jacob Schack Vestergaard, Anders Lindbjerg Dahl, Peter Holm, Rasmus Larsen

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    Abstract

    Automated methods for neural stem cell lineage construction become increasingly important due to the large amount of data produced from time lapse imagery of in vitro cell growth experiments. Segmentation algorithms with the ability to adapt to the problem at hand and robust tracking methods play a key role in constructing these lineages. We present here a tracking pipeline based on learning a dictionary of discriminative image patches for segmentation and a graph formulation of the cell matching problem incorporating topology changes and acknowledging the fact that segmentation errors do occur. A matched filter for detection of mitotic candidates is constructed to ensure that cell division is only allowed in the model when relevant. Potentially the combination of these robust methods can simplify the initiation of cell lineage construction and extraction of statistics.
    Original languageEnglish
    Title of host publicationMedical Computer Vision. Recognition Techniques and Applications in Medical Imaging : Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers
    PublisherSpringer
    Publication date2012
    Pages155-164
    ISBN (Print)978-3-642-36619-2
    ISBN (Electronic)978-3-642-36620-8
    DOIs
    Publication statusPublished - 2012
    Event15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012) : Workshop on Medical Computer Vision (MCV) - Nice, France
    Duration: 5 Oct 2012 → …
    http://www.cir.meduniwien.ac.at/mcv2012/MCV2012/MCV2012.html

    Workshop

    Workshop15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012) : Workshop on Medical Computer Vision (MCV)
    CountryFrance
    CityNice
    Period05/10/2012 → …
    Internet address
    SeriesLecture Notes in Computer Science
    Volume7766
    ISSN0302-9743

    Cite this

    Vestergaard, J. S., Dahl, A. L., Holm, P., & Larsen, R. (2012). Pipeline for Tracking Neural Progenitor Cells. In Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging: Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers (pp. 155-164). Springer. Lecture Notes in Computer Science, Vol.. 7766 https://doi.org/10.1007/978-3-642-36620-8_16