• DocumentCode
    3079523
  • Title

    Tracking endothelial cells during blood vessel networks assembly using active contours

  • Author

    Montrucchio, B. ; Lamberti, F. ; Gamba, A. ; Serini, G.

  • Author_Institution
    Dip. di Aut. ed Informatica, Politecnico di Torino, Turin, Italy
  • fYear
    2005
  • fDate
    2-4 Nov. 2005
  • Firstpage
    384
  • Lastpage
    389
  • Abstract
    This paper presents a comprehensive framework for quantitative analysis of vascular processes from in-vitro videomicroscopy data. By following an active contours based approach, we designed a quasi-automatic technique enabling highly interacting motile endothelial cells (ECs) tracking in large field of view phase contrast microscopy video sequences. Our work was motivated by the necessity of validating through statistical analysis an analytical model mimicking ECs behavior. However, the proposed framework could also constitute an invaluable tool supporting general experimental studies on vascularization. Our tracking technique has been extensively validated on realistic data-sets by comparison with a manually defined ground-truth.
  • Keywords
    blood vessels; image sequences; medical image processing; statistical analysis; tracking; video signal processing; active contours; blood vessel networks assembly; endothelial cells tracking; in-vitro videomicroscopy; quantitative analysis; quasiautomatic technique; statistical analysis; vascular processes; vascularization; video sequences; Active contours; Analytical models; Assembly; Biomedical imaging; Blood vessels; Cells (biology); Data mining; Equations; In vitro; Microscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems Design and Implementation, 2005. IEEE Workshop on
  • ISSN
    1520-6130
  • Print_ISBN
    0-7803-9333-3
  • Type

    conf

  • DOI
    10.1109/SIPS.2005.1579898
  • Filename
    1579898