Initial steps towards automatic segmentation of the wire frame of stent grafts in CT data

Almar Klein, W.K Renema, L.J. Schultze Kool, Cornelis H. Slump

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    Abstract

    For the purpose of obtaining a geometrical model of the wire frame of stent grafts, we propose three tracking methods to segment the stent's wire, and compare them in an experiment. A 2D test image was created by obtaining a projection of a 3D volume containing a stent. The image was modified to connect the parts of the stent's frame and thus create a single path. Ten versions of this image were obtained by adding different noise realizations. Each algorithm was started at the start of each of the ten images, after which the traveled paths were compared to the known correct path to determine the performance. Additionally, the algorithms were applied to 3D clinical data and visually inspected. The method based on the minimum cost path algorithm scored excellent in the experiment and showed good results on the 3D data. Future research will focus on establishing a geometrical model by determining the corner points and the crossings from the results of this method.
    Original languageUndefined
    Title of host publicationProceedings of the 4th Annual symposium of the IEEE-EMBS Benelux Chapter
    PublisherIEEE EMBS Benelux Chapter
    Pages116-119
    Number of pages4
    ISBN (Print)978-90-365-2933-4
    Publication statusPublished - 9 Nov 2009
    Event4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009 - University of Twente, Enschede, Netherlands
    Duration: 9 Nov 200910 Nov 2009
    Conference number: 4

    Publication series

    Name
    PublisherIEEE EMBS Benelux Chapter

    Conference

    Conference4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009
    CountryNetherlands
    CityEnschede
    Period9/11/0910/11/09

    Keywords

    • METIS-264148
    • CT
    • IR-68418
    • EWI-16504
    • Stents grafts
    • Segmentation
    • geometrical model

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