• DocumentCode
    3677375
  • Title

    An automatic tool for thoracic aorta segmentation and 3D geometric analysis

  • Author

    Chiara Trentin;Elena Faggiano;Michele Conti;Ferdinando Auricchio

  • Author_Institution
    CeSNA, IUSS, Pavia, Italy
  • fYear
    2015
  • Firstpage
    60
  • Lastpage
    65
  • Abstract
    The present study aims at expanding the knowledge in the field of stent-graft behaviour in patients affected by thoracic aortic pathologies, imaged before and after thoracic endovascular aortic repair (TEVAR) with a 4D computed tomographic (CT) angiography that allows time-resolved image visualisation. We therefore developed an automatic tool to track the changes in distensibility and elongation experienced by the aorta during the cardiac cycle. The tool permitted to lower the work-load and the variability during the measurements acquisition. Analysis of geometric quantities leaded to some interesting findings; a major observation concerns the fact that the thoracic aorta experiences high aortic changes in both distensibility and elongation. Distensibility was preserved or increased after TEVAR. Elongation was not preserved after TEVAR in the segments covered with the stent-graft, it instead increased in the segments proximal to the stent-graft. Additional studies need to be addressed.
  • Keywords
    "Shape","Biomedical imaging","Image segmentation","Bifurcation","Three-dimensional displays","Computed tomography","Level set"
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing and Analysis (ISPA), 2015 9th International Symposium on
  • ISSN
    1845-5921
  • Type

    conf

  • DOI
    10.1109/ISPA.2015.7306033
  • Filename
    7306033