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Proceedings Paper

Mid-sagittal plane and mid-sagittal surface optimization in brain MRI using a local symmetry measure
Author(s): Mikkel B. Stegmann; Karl Skoglund; Charlotte Ryberg
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Paper Abstract

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.

Paper Details

Date Published: 29 April 2005
PDF: 12 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.595222
Show Author Affiliations
Mikkel B. Stegmann, Technical Univ. of Denmark (Denmark)
Copenhagen Univ. Hospital Hvidovre (Denmark)
Karl Skoglund, Technical Univ. of Denmark (Denmark)
Copenhagen Univ. Hospital Hvidovre (Denmark)
Charlotte Ryberg, Copenhagen Univ. Hospital Hvidovre (Denmark)


Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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