Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images

Jyrki Lötjönen (Corresponding Author), S. Kivistö, J. Koikkalainen, D. Smutek, K. Lauerma

    Research output: Contribution to journalArticleScientificpeer-review

    148 Citations (Scopus)

    Abstract

    We describe a new 3-D statistical shape model of the heart consisting of atria, ventricles and epicardium. The model was constructed by combining information on standard short- and long-axis cardiac MR images. In the model, the variability of the shape was modeled with PCA- and ICA-based shape models as well as with non-parametric landmark probability distributions and a probabilistic atlas. The statistical atlas was built from 25 healthy subjects. The shape model was evaluated by applying it to image segmentation. The probabilistic atlas was found to be superior to the other shape models (p<0.001) in this study.
    Original languageEnglish
    Pages (from-to)371 - 386
    Number of pages16
    JournalMedical Image Analysis
    Volume8
    Issue number3
    DOIs
    Publication statusPublished - 2004
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Atlases
    Pericardium
    Statistical Models
    Passive Cutaneous Anaphylaxis
    Heart Atria
    Healthy Volunteers
    Independent component analysis
    Image segmentation
    Probability distributions

    Keywords

    • shape analysis
    • statistical shape models
    • cardiac models
    • atlas
    • model-based image analysis

    Cite this

    Lötjönen, Jyrki ; Kivistö, S. ; Koikkalainen, J. ; Smutek, D. ; Lauerma, K. / Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images. In: Medical Image Analysis. 2004 ; Vol. 8, No. 3. pp. 371 - 386.
    @article{e5445ad0d323470090a9bddb8d276a54,
    title = "Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images",
    abstract = "We describe a new 3-D statistical shape model of the heart consisting of atria, ventricles and epicardium. The model was constructed by combining information on standard short- and long-axis cardiac MR images. In the model, the variability of the shape was modeled with PCA- and ICA-based shape models as well as with non-parametric landmark probability distributions and a probabilistic atlas. The statistical atlas was built from 25 healthy subjects. The shape model was evaluated by applying it to image segmentation. The probabilistic atlas was found to be superior to the other shape models (p<0.001) in this study.",
    keywords = "shape analysis, statistical shape models, cardiac models, atlas, model-based image analysis",
    author = "Jyrki L{\"o}tj{\"o}nen and S. Kivist{\"o} and J. Koikkalainen and D. Smutek and K. Lauerma",
    year = "2004",
    doi = "10.1016/j.media.2004.06.013",
    language = "English",
    volume = "8",
    pages = "371 -- 386",
    journal = "Medical Image Analysis",
    issn = "1361-8415",
    publisher = "Elsevier",
    number = "3",

    }

    Lötjönen, J, Kivistö, S, Koikkalainen, J, Smutek, D & Lauerma, K 2004, 'Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images', Medical Image Analysis, vol. 8, no. 3, pp. 371 - 386. https://doi.org/10.1016/j.media.2004.06.013

    Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images. / Lötjönen, Jyrki (Corresponding Author); Kivistö, S.; Koikkalainen, J.; Smutek, D.; Lauerma, K.

    In: Medical Image Analysis, Vol. 8, No. 3, 2004, p. 371 - 386.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images

    AU - Lötjönen, Jyrki

    AU - Kivistö, S.

    AU - Koikkalainen, J.

    AU - Smutek, D.

    AU - Lauerma, K.

    PY - 2004

    Y1 - 2004

    N2 - We describe a new 3-D statistical shape model of the heart consisting of atria, ventricles and epicardium. The model was constructed by combining information on standard short- and long-axis cardiac MR images. In the model, the variability of the shape was modeled with PCA- and ICA-based shape models as well as with non-parametric landmark probability distributions and a probabilistic atlas. The statistical atlas was built from 25 healthy subjects. The shape model was evaluated by applying it to image segmentation. The probabilistic atlas was found to be superior to the other shape models (p<0.001) in this study.

    AB - We describe a new 3-D statistical shape model of the heart consisting of atria, ventricles and epicardium. The model was constructed by combining information on standard short- and long-axis cardiac MR images. In the model, the variability of the shape was modeled with PCA- and ICA-based shape models as well as with non-parametric landmark probability distributions and a probabilistic atlas. The statistical atlas was built from 25 healthy subjects. The shape model was evaluated by applying it to image segmentation. The probabilistic atlas was found to be superior to the other shape models (p<0.001) in this study.

    KW - shape analysis

    KW - statistical shape models

    KW - cardiac models

    KW - atlas

    KW - model-based image analysis

    U2 - 10.1016/j.media.2004.06.013

    DO - 10.1016/j.media.2004.06.013

    M3 - Article

    VL - 8

    SP - 371

    EP - 386

    JO - Medical Image Analysis

    JF - Medical Image Analysis

    SN - 1361-8415

    IS - 3

    ER -