Three-dimensional Model-based Segmentation of Brain MRI

András Kelemen, Gábor Székely, Guido Gerig

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper presents a new technique for the automatic model-based segmentation of 3-D objects from volumetric image data. The development closely follows the seminal work of Cootes et al. [5] but presents various new solutions to come up with a true 3-D technique rather than a slice-by-slice 2-D processing. The segmentation system includes both the building of statistical models and the automatic segmentation of new image data sets via a restricted elastic deformation of models. Geometric models are derived from a sample set of image data which have been segmented by experts. The surfaces of these binary objects are converted into a parametric surface net which is normalized to get an invariant object-centered coordinate system. Surface descriptions are expanded into series of spherical harmonics which provide parametric representations of object shapes. Gray-level information is represented by 1-D profiles normal to the surface. The alignment is based on the well-accepted stereotactic coordinate system since the driving application is the segmentation of brain objects. Shape statistics are calculated from the parametric shape representations rather than from the spatial coordinates of sets of points. After initializing the mean shape in a new data set on the basis of the alignment coordinates, the model elastically deforms in accordance to displacement forces across the surface but is restricted only by shape deformation constraints. The technique has been applied to segment left and right hippocampal structures from a large series of 3-D magnetic resonance scans taken from a schizophrenia study.

    Original languageEnglish (US)
    Title of host publicationProceedings - Workshop on Biomedical Image Analysis, WBIA 1998
    EditorsBaba Vemuri
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-10
    Number of pages10
    ISBN (Electronic)0818684607, 9780818684609
    DOIs
    StatePublished - 1998
    Event1998 IEEE Workshop on Biomedical Image Analysis, WBIA 1998 - Santa Barbara, United States
    Duration: Jun 26 1998Jun 27 1998

    Publication series

    NameProceedings - Workshop on Biomedical Image Analysis, WBIA 1998
    Volume1998-January

    Other

    Other1998 IEEE Workshop on Biomedical Image Analysis, WBIA 1998
    CountryUnited States
    CitySanta Barbara
    Period6/26/986/27/98

    ASJC Scopus subject areas

    • Signal Processing
    • Health Informatics
    • Radiology Nuclear Medicine and imaging

    Fingerprint Dive into the research topics of 'Three-dimensional Model-based Segmentation of Brain MRI'. Together they form a unique fingerprint.

    Cite this