Evaluation of cardiac biventricular segmentation from multiaxis MRI data

A multicenter study

Jyrki Lötjönen (Corresponding Author), Vesa Järvinen, Cheong Benjamin, Edwin Wu, Sari Kivistö, Juha Koikkalainen, Jussi Mattila, Helena Kervinen, Raja Muthupillai, Florence Sheehan, Kirsi Lauerma

    Research output: Contribution to journalArticleScientificpeer-review

    22 Citations (Scopus)

    Abstract

    Purpose: To validate a volumetric biventricular segmentation solution for multiaxis cardiac magnetic resonance (CMR) images.

    Materials and Methods: The study population comprised 40 subjects. Biventricular end‐diastolic and ‐systolic phases were segmented from both short‐axis and horizontal long‐axis or transaxial cine CMR images. Segmentation was based on fitting nonrigidly a 3D surface model to multiaxis CMR images. Five segmentations were performed: two manual segmentations by experts, automatic segmentation, and two segmentations where a user was allowed to correct errors in the automatic segmentation for 2 minutes and without time limits. Volumetry, distance measures, and visual grading were used to evaluate the quality of the segmentation.

    Results: No difference was observed between automatic and manual segmentations in volumetric measures of the ventricles. The manual segmentation performed better for left‐ventricular myocardial volume. The distance between surfaces as well as visual analysis did not show differences between automatic and manual segmentation for the endocardial border of the left ventricle but some corrections are needed for the right ventricle.

    Conclusion: Fully automatic segmentation produces good results in the assessment of left ventricular volume andendocardial border. Two minutes of user interaction are needed to obtain accurate results for the right ventricle.
    Original languageEnglish
    Pages (from-to)626-636
    Number of pages11
    JournalJournal of Magnetic Resonance Imaging
    Volume28
    Issue number3
    DOIs
    Publication statusPublished - 2008
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Multicenter Studies
    Heart Ventricles
    Magnetic Resonance Spectroscopy
    Population

    Keywords

    • segmentation
    • cardiac CMR
    • volumetry
    • right ventricle

    Cite this

    Lötjönen, J., Järvinen, V., Benjamin, C., Wu, E., Kivistö, S., Koikkalainen, J., ... Lauerma, K. (2008). Evaluation of cardiac biventricular segmentation from multiaxis MRI data: A multicenter study. Journal of Magnetic Resonance Imaging, 28(3), 626-636. https://doi.org/10.1002/jmri.21520
    Lötjönen, Jyrki ; Järvinen, Vesa ; Benjamin, Cheong ; Wu, Edwin ; Kivistö, Sari ; Koikkalainen, Juha ; Mattila, Jussi ; Kervinen, Helena ; Muthupillai, Raja ; Sheehan, Florence ; Lauerma, Kirsi. / Evaluation of cardiac biventricular segmentation from multiaxis MRI data : A multicenter study. In: Journal of Magnetic Resonance Imaging. 2008 ; Vol. 28, No. 3. pp. 626-636.
    @article{778779b9b6bf4d079217e1456fcee89a,
    title = "Evaluation of cardiac biventricular segmentation from multiaxis MRI data: A multicenter study",
    abstract = "Purpose: To validate a volumetric biventricular segmentation solution for multiaxis cardiac magnetic resonance (CMR) images.Materials and Methods: The study population comprised 40 subjects. Biventricular end‐diastolic and ‐systolic phases were segmented from both short‐axis and horizontal long‐axis or transaxial cine CMR images. Segmentation was based on fitting nonrigidly a 3D surface model to multiaxis CMR images. Five segmentations were performed: two manual segmentations by experts, automatic segmentation, and two segmentations where a user was allowed to correct errors in the automatic segmentation for 2 minutes and without time limits. Volumetry, distance measures, and visual grading were used to evaluate the quality of the segmentation.Results: No difference was observed between automatic and manual segmentations in volumetric measures of the ventricles. The manual segmentation performed better for left‐ventricular myocardial volume. The distance between surfaces as well as visual analysis did not show differences between automatic and manual segmentation for the endocardial border of the left ventricle but some corrections are needed for the right ventricle.Conclusion: Fully automatic segmentation produces good results in the assessment of left ventricular volume andendocardial border. Two minutes of user interaction are needed to obtain accurate results for the right ventricle.",
    keywords = "segmentation, cardiac CMR, volumetry, right ventricle",
    author = "Jyrki L{\"o}tj{\"o}nen and Vesa J{\"a}rvinen and Cheong Benjamin and Edwin Wu and Sari Kivist{\"o} and Juha Koikkalainen and Jussi Mattila and Helena Kervinen and Raja Muthupillai and Florence Sheehan and Kirsi Lauerma",
    year = "2008",
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    Lötjönen, J, Järvinen, V, Benjamin, C, Wu, E, Kivistö, S, Koikkalainen, J, Mattila, J, Kervinen, H, Muthupillai, R, Sheehan, F & Lauerma, K 2008, 'Evaluation of cardiac biventricular segmentation from multiaxis MRI data: A multicenter study', Journal of Magnetic Resonance Imaging, vol. 28, no. 3, pp. 626-636. https://doi.org/10.1002/jmri.21520

    Evaluation of cardiac biventricular segmentation from multiaxis MRI data : A multicenter study. / Lötjönen, Jyrki (Corresponding Author); Järvinen, Vesa; Benjamin, Cheong; Wu, Edwin; Kivistö, Sari; Koikkalainen, Juha; Mattila, Jussi; Kervinen, Helena; Muthupillai, Raja; Sheehan, Florence; Lauerma, Kirsi.

    In: Journal of Magnetic Resonance Imaging, Vol. 28, No. 3, 2008, p. 626-636.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Evaluation of cardiac biventricular segmentation from multiaxis MRI data

    T2 - A multicenter study

    AU - Lötjönen, Jyrki

    AU - Järvinen, Vesa

    AU - Benjamin, Cheong

    AU - Wu, Edwin

    AU - Kivistö, Sari

    AU - Koikkalainen, Juha

    AU - Mattila, Jussi

    AU - Kervinen, Helena

    AU - Muthupillai, Raja

    AU - Sheehan, Florence

    AU - Lauerma, Kirsi

    PY - 2008

    Y1 - 2008

    N2 - Purpose: To validate a volumetric biventricular segmentation solution for multiaxis cardiac magnetic resonance (CMR) images.Materials and Methods: The study population comprised 40 subjects. Biventricular end‐diastolic and ‐systolic phases were segmented from both short‐axis and horizontal long‐axis or transaxial cine CMR images. Segmentation was based on fitting nonrigidly a 3D surface model to multiaxis CMR images. Five segmentations were performed: two manual segmentations by experts, automatic segmentation, and two segmentations where a user was allowed to correct errors in the automatic segmentation for 2 minutes and without time limits. Volumetry, distance measures, and visual grading were used to evaluate the quality of the segmentation.Results: No difference was observed between automatic and manual segmentations in volumetric measures of the ventricles. The manual segmentation performed better for left‐ventricular myocardial volume. The distance between surfaces as well as visual analysis did not show differences between automatic and manual segmentation for the endocardial border of the left ventricle but some corrections are needed for the right ventricle.Conclusion: Fully automatic segmentation produces good results in the assessment of left ventricular volume andendocardial border. Two minutes of user interaction are needed to obtain accurate results for the right ventricle.

    AB - Purpose: To validate a volumetric biventricular segmentation solution for multiaxis cardiac magnetic resonance (CMR) images.Materials and Methods: The study population comprised 40 subjects. Biventricular end‐diastolic and ‐systolic phases were segmented from both short‐axis and horizontal long‐axis or transaxial cine CMR images. Segmentation was based on fitting nonrigidly a 3D surface model to multiaxis CMR images. Five segmentations were performed: two manual segmentations by experts, automatic segmentation, and two segmentations where a user was allowed to correct errors in the automatic segmentation for 2 minutes and without time limits. Volumetry, distance measures, and visual grading were used to evaluate the quality of the segmentation.Results: No difference was observed between automatic and manual segmentations in volumetric measures of the ventricles. The manual segmentation performed better for left‐ventricular myocardial volume. The distance between surfaces as well as visual analysis did not show differences between automatic and manual segmentation for the endocardial border of the left ventricle but some corrections are needed for the right ventricle.Conclusion: Fully automatic segmentation produces good results in the assessment of left ventricular volume andendocardial border. Two minutes of user interaction are needed to obtain accurate results for the right ventricle.

    KW - segmentation

    KW - cardiac CMR

    KW - volumetry

    KW - right ventricle

    U2 - 10.1002/jmri.21520

    DO - 10.1002/jmri.21520

    M3 - Article

    VL - 28

    SP - 626

    EP - 636

    JO - Journal of Magnetic Resonance Imaging

    JF - Journal of Magnetic Resonance Imaging

    SN - 1053-1807

    IS - 3

    ER -