Mid-sagittal plane and mid-sagittal surface optimization in brain MRI using a local symmetry measure

Mikkel Bille Stegmann, Karl Skoglund, Charlotte Ryberg

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    This paper describes methods for automatic localization of the mid-sagittal plane (MSP) and mid-sagittal surface (MSS). The data used is a subset of the Leukoaraiosis And DISability (LADIS) study consisting of three-dimensional magnetic resonance brain data from 62 elderly subjects (age 66 to 84 years). Traditionally, the mid-sagittal plane is localized by global measures. However, this approach fails when the partitioning plane between the brain hemispheres does not coincide with the symmetry plane of the head. We instead propose to use a sparse set of profiles in the plane normal direction and maximize the local symmetry around these using a general-purpose optimizer. The plane is parameterized by azimuth and elevation angles along with the distance to the origin in the normal direction. This approach leads to solutions confirmed as the optimal MSP in 98 percent of the subjects. Despite the name, the mid-sagittal plane is not always planar, but a curved surface resulting in poor partitioning of the brain hemispheres. To account for this, this paper also investigates an optimization strategy which fits a thin-plate spline surface to the brain data using a robust least median of squares estimator. Albeit computationally more expensive, mid-sagittal surface fitting demonstrated convincingly better partitioning of curved brains into cerebral hemispheres.
    Original languageEnglish
    Title of host publicationInternational Symposium on Medical Imaging 2005, San Diego, CA, Proc. of SPIE
    Publication date2005
    Publication statusPublished - 2005
    Event2005 International Symposium on Medical Imaging - San Diego, CA, United States
    Duration: 13 Feb 200515 Feb 2005


    Conference2005 International Symposium on Medical Imaging
    Country/TerritoryUnited States
    CitySan Diego, CA

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