Segmentation of MR images using deformable models: Application to cardiac images

Jyrki Lötjönen

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    This paper discusses various aspects related to the segmentation of cardiovascular magnetic resonance images using deformable models. A short survey on segmentation techniques is first presented. Thereafter, a recently developed method, based on a volumetric template, is demonstrated in two case studies. The method is applied to the segmentation of the heart, and to the motion tracking of the heart. In the both cases, the method produced overall good results with minor errors.
    Original languageEnglish
    JournalInternational Journal of Bioelectromagnetism
    Volume3
    Issue number2
    Publication statusPublished - 2001
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Magnetic resonance

    Keywords

    • cardiovascular segmentation
    • model-based segmentation
    • elastic matching
    • motion tracking
    • MR imaging

    Cite this

    @article{b32df8d3f5a946a29abdc8b45e03bb01,
    title = "Segmentation of MR images using deformable models: Application to cardiac images",
    abstract = "This paper discusses various aspects related to the segmentation of cardiovascular magnetic resonance images using deformable models. A short survey on segmentation techniques is first presented. Thereafter, a recently developed method, based on a volumetric template, is demonstrated in two case studies. The method is applied to the segmentation of the heart, and to the motion tracking of the heart. In the both cases, the method produced overall good results with minor errors.",
    keywords = "cardiovascular segmentation, model-based segmentation, elastic matching, motion tracking, MR imaging",
    author = "Jyrki L{\"o}tj{\"o}nen",
    year = "2001",
    language = "English",
    volume = "3",
    journal = "International Journal of Bioelectromagnetism",
    issn = "1456-7857",
    publisher = "De Gruyter Open Ltd.",
    number = "2",

    }

    Segmentation of MR images using deformable models : Application to cardiac images. / Lötjönen, Jyrki.

    In: International Journal of Bioelectromagnetism, Vol. 3, No. 2, 2001.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Segmentation of MR images using deformable models

    T2 - Application to cardiac images

    AU - Lötjönen, Jyrki

    PY - 2001

    Y1 - 2001

    N2 - This paper discusses various aspects related to the segmentation of cardiovascular magnetic resonance images using deformable models. A short survey on segmentation techniques is first presented. Thereafter, a recently developed method, based on a volumetric template, is demonstrated in two case studies. The method is applied to the segmentation of the heart, and to the motion tracking of the heart. In the both cases, the method produced overall good results with minor errors.

    AB - This paper discusses various aspects related to the segmentation of cardiovascular magnetic resonance images using deformable models. A short survey on segmentation techniques is first presented. Thereafter, a recently developed method, based on a volumetric template, is demonstrated in two case studies. The method is applied to the segmentation of the heart, and to the motion tracking of the heart. In the both cases, the method produced overall good results with minor errors.

    KW - cardiovascular segmentation

    KW - model-based segmentation

    KW - elastic matching

    KW - motion tracking

    KW - MR imaging

    M3 - Article

    VL - 3

    JO - International Journal of Bioelectromagnetism

    JF - International Journal of Bioelectromagnetism

    SN - 1456-7857

    IS - 2

    ER -