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Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex.

Highly accurate surface models of the cerebral cortex are becoming increasingly important as tools in the investigation of the functional organization of the human brain. The construction of such models is difficult using current neuroimaging technology due to the high degree of cortical folding. Even single voxel misclassifications can result in erroneous connections being created between adjacent banks of a sulcus, resulting in a topologically inaccurate model. These topological defects cause the cortical model to no longer be homeomorphic to a sheet, preventing the accurate inflation, flattening, or spherical morphing of the reconstructed cortex. Surface deformation techniques can guarantee the topological correctness of a model, but are time-consuming and may result in geometrically inaccurate models. In order to address this need we have developed a technique for taking a model of the cortex, detecting and fixing the topological defects while leaving that majority of the model intact, resulting in a surface that is both geometrically accurate and topologically correct.

Pubmed ID: 11293693


  • Fischl B
  • Liu A
  • Dale AM


IEEE transactions on medical imaging

Publication Data

January 9, 2001

Associated Grants

  • Agency: NCRR NIH HHS, Id: P41-RR14075
  • Agency: NINDS NIH HHS, Id: R01-NS39581
  • Agency: NCRR NIH HHS, Id: R01-RR13609

Mesh Terms

  • Cerebral Cortex
  • Humans
  • Image Processing, Computer-Assisted
  • Imaging, Three-Dimensional
  • Magnetic Resonance Imaging