Literature DB >> 20426104

Topological correction of brain surface meshes using spherical harmonics.

Rachel Aine Yotter1, Robert Dahnke, Christian Gaser.   

Abstract

A brain surface reconstruction allows advanced analysis of structural and functional brain data that is not possible using volumetric data alone. However, the generation of a brain surface mesh from MRI data often introduces topological defects and artifacts that must be corrected. We show that it is possible to accurately correct these errors using spherical harmonics. Our results clearly demonstrate that brain surface meshes reconstructed using spherical harmonics are free from topological defects and large artifacts that were present in the uncorrected brain surface. Visual inspection reveals that the corrected surfaces are of very high quality. The spherical harmonic surfaces are also quantitatively validated by comparing the surfaces to an "ideal" brain based on a manually corrected average of twelve scans of the same subject. In conclusion, the spherical harmonics approach is a direct, computationally fast method to correct topological errors.

Mesh:

Year:  2009        PMID: 20426104     DOI: 10.1007/978-3-642-04271-3_16

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  1 in total

1.  Unified heat kernel regression for diffusion, kernel smoothing and wavelets on manifolds and its application to mandible growth modeling in CT images.

Authors:  Moo K Chung; Anqi Qiu; Seongho Seo; Houri K Vorperian
Journal:  Med Image Anal       Date:  2015-03-02       Impact factor: 8.545

  1 in total

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