Intravascular ultrasound (IVUS) imaging is a valuable method of quantifying the degree and severity of coronary atherosclerosis. Development of an automated method of this quantification has been hampered by the difficulty in automating the extraction of the lumen-intima interface and the media-adventitia interface. The authors describe how these interfaces can be automatically extracted using a combination of image processing techniques with the use of adaptive thresholding and a fuzzy logic decision process.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fully automated media and lumen boundary detection in intravascular ultrasound images


    Contributors:
    Vandenberg, J. (author) / Liersch, G. (author) / Hanna, H. (author) / Cameron, J. (author)


    Publication date :

    1996-01-01


    Size :

    361824 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Fully Automated Media and Lumen Boundary Detection in Intravascular Ultrasound Images

    Vandenberg, J. / Liersch, G. / Hanna, H. et al. | British Library Conference Proceedings | 1996


    Automatic Segmentation of Vessel Lumen in Intravascular Optical Coherence Tomography Images

    Wang, Ancong / Tang, Xiaoying | British Library Conference Proceedings | 2016


    Surface reconstruction of the coronary arterial walls from intravascular ultrasound images

    Sun, F.-r. / Liu, Z. / Dong, X.-j. et al. | British Library Online Contents | 2007


    Online Extraction of Lumen Region and Boundary from Endoscopic Images Using a Quad Structure

    Kumar, S. / Asari, K. V. / Radhakrishnan, D. et al. | British Library Conference Proceedings | 1999


    Lumen wand

    DOMINGO JOSEPH F | European Patent Office | 2019

    Free access