Automatic corpus callosum segmentation using a deformable active Fourier contour model

Clement Vachet, Benjamin Yvernault, Kshamta Bhatt, Rachel G. Smith, Guido Gerig, Heather Cody Hazlett, Martin Styner

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

    Abstract

    The corpus callosum (CC) is a structure of interest in many neuroimaging studies of neuro-developmental pathology such as autism. It plays an integral role in relaying sensory, motor and cognitive information from homologous regions in both hemispheres. We have developed a framework that allows automatic segmentation of the corpus callosum and its lobar subdivisions. Our approach employs constrained elastic deformation of flexible Fourier contour model, and is an extension of Szekely's 2D Fourier descriptor based Active Shape Model. The shape and appearance model, derived from a large mixed population of 150+ subjects, is described with complex Fourier descriptors in a principal component shape space. Using MNI space aligned T1w MRI data, the CC segmentation is initialized on the mid-sagittal plane using the tissue segmentation. A multi-step optimization strategy, with two constrained steps and a final unconstrained step, is then applied. If needed, interactive segmentation can be performed via contour repulsion points. Lobar connectivity based parcellation of the corpus callosum can finally be computed via the use of a probabilistic CC subdivision model. Our analysis framework has been integrated in an open-source, end-to-end application called CCSeg both with a command line and Qt-based graphical user interface (available on NITRC). A study has been performed to quantify the reliability of the semi-automatic segmentation on a small pediatric dataset. Using 5 subjects randomly segmented 3 times by two experts, the intra-class correlation coefficient showed a superb reliability (0.99). CCSeg is currently applied to a large longitudinal pediatric study of brain development in autism.

    Original languageEnglish (US)
    Title of host publicationMedical Imaging 2012
    Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
    DOIs
    StatePublished - 2012
    EventMedical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, CA, United States
    Duration: Feb 5 2012Feb 7 2012

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume8317
    ISSN (Print)1605-7422

    Other

    OtherMedical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
    CountryUnited States
    CitySan Diego, CA
    Period2/5/122/7/12

    Keywords

    • Corpus callosum
    • Fourier coefficient
    • Segmentation
    • Shape model

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Biomaterials
    • Atomic and Molecular Physics, and Optics
    • Radiology Nuclear Medicine and imaging

    Fingerprint Dive into the research topics of 'Automatic corpus callosum segmentation using a deformable active Fourier contour model'. Together they form a unique fingerprint.

    Cite this