Consistent reconstruction of cortical surfaces from longitudinal brain MR images

  • Authors:

  • Gang Li;Jingxin Nie;Dinggang Shen

  • Affiliations:

  • Department of Radiology and BRIC, University of North Carolina at Chapel Hill;Department of Radiology and BRIC, University of North Carolina at Chapel Hill;Department of Radiology and BRIC, University of North Carolina at Chapel Hill

  • Venue:
  • MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
  • Year:
  • 2011

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Abstract

Accurate and consistent reconstruction of cortical surfaces from longitudinal human brain MR images is of great importance in studying subtle morphological changes of the cerebral cortex. This paper presents a new deformable surface method for consistent and accurate reconstruction of inner, central and outer cortical surfaces from longitudinal MR images. Specifically, the cortical surfaces of the group-mean image of all aligned longitudinal images of the same subject are first reconstructed by a deformable surface method driven by a force derived from the Laplace's equation. And then the longitudinal cortical surfaces are consistently reconstructed by jointly deforming the cortical surfaces from the group-mean image to all longitudinal images. The proposed method has been successfully applied to both simulated and real longitudinal images, demonstrating its validity.