A generative model for multi-atlas segmentation across modalities

J. E. Iglesias, M. R. Sabuncu, Koen Van Leemput

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Current label fusion methods enhance multi-atlas segmentation by locally weighting the contribution of the atlases according to their similarity to the target volume after registration. However, these methods cannot handle voxel intensity inconsistencies between the atlases and the target image, which limits their application across modalities or even across MRI datasets due to differences in image contrast. Here we present a generative model for multi-atlas image segmentation, which does not rely on the intensity of the training images. Instead, we exploit the consistency of voxel intensities within regions in the target volume and their relation to the propagated labels. This is formulated in a probabilistic framework, where the most likely segmentation is obtained with variational expectation maximization (EM). The approach is demonstrated in an experiment where T1-weighted MRI atlases are used to segment proton-density (PD) weighted brain MRI scans, a scenario in which traditional weighting schemes cannot be used. Our method significantly improves the results provided by majority voting and STAPLE.
    Original languageEnglish
    Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
    PublisherIEEE
    Publication date2012
    Pages888-891
    ISBN (Print)978-1-4577-1857-1
    DOIs
    Publication statusPublished - 2012
    Event9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Barcelona, Spain
    Duration: 2 May 20125 May 2012
    http://www.biomedicalimaging.org/2012/
    https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=17944

    Conference

    Conference9th IEEE International Symposium on Biomedical Imaging
    Country/TerritorySpain
    CityBarcelona
    Period02/05/201205/05/2012
    Internet address
    SeriesInternational Symposium on Biomedical Imaging. Proceedings
    ISSN1945-7928

    Keywords

    • Label fusion
    • Multi-atlas segmentation

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