Automatic Detection of Myocardial Boundaries in MR Cardio Perfusion Images

Luuk Spreeuwers, Marcel Breeuwer

    Research output: Contribution to conferencePaper

    15 Citations (Scopus)

    Abstract

    Cardiovascular diseases often result in reduced blood perfusion of the myocardium (MC). Recent advances in MR allow fast recordingof contrast enhanced myocardial perfusion scans. For perfusion analysis the myocardial boundaries must be traced. Currently this is done manually. In this paper a method for automatic detection of the myocardial boundaries is proposed.
    Original languageEnglish
    Pages1228-1231
    Number of pages4
    DOIs
    Publication statusPublished - 2001
    Event4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 - Utrecht, Netherlands
    Duration: 14 Oct 200117 Oct 2001
    Conference number: 4

    Conference

    Conference4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001
    Abbreviated titleMICCAI
    CountryNetherlands
    CityUtrecht
    Period14/10/0117/10/01

    Keywords

    • IR-62543
    • EWI-14116

    Fingerprint Dive into the research topics of 'Automatic Detection of Myocardial Boundaries in MR Cardio Perfusion Images'. Together they form a unique fingerprint.

  • Cite this

    Spreeuwers, L., & Breeuwer, M. (2001). Automatic Detection of Myocardial Boundaries in MR Cardio Perfusion Images. 1228-1231. Paper presented at 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001, Utrecht, Netherlands. https://doi.org/10.1007/3-540-45468-3_174