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Paper   IPM / Cognitive / 8483
School of Cognitive Sciences
  Title:   Automatic Landmark Generation for Nonlinear Registration of Anatomical and Functional Brain MRI
1.  L. Amini
2.  H. Soltanian-Zadeh
3.  E. Fatemi-Zadeh
4.  G.A. . Hossein-Zadeh
  Status:   In Proceedings
  Proceeding: Cairo international Biomedical Engineering Conference
  Year:  2006
  Supported by:  IPM
A limitation of using linear registration methods for mapping functional magnetic resonance imaging (fMRI) data to anatomical MRI, required for both multi-subject analysis and visualization of brain activations, is its inability to correct the geometric distortion induced by field inhomogeneity. Consequently, linear methods such as MI (mutual information) do not accurately align fMRI and MRI. Nonlinear methods such as TPS (Thin Plate Spline) may do the job but they require manual identification of landmarks. Due to low speed, high cost, and user-dependency of manual landmark identification, a new algorithm for automatic landmark generation is presented in this paper. The nonlinear registration method along with new automatic algorithm is applied on real anatomical and fMRI data and the results are evaluated. Experimental results illustrate the method and its excellent performance.

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