Large Deformation Multiresolution Diffeomorphic Metric Mapping for Multiresolution Cortical Surfaces: A Coarse-to-Fine Approach

@article{Tan2016LargeDM,
  title={Large Deformation Multiresolution Diffeomorphic Metric Mapping for Multiresolution Cortical Surfaces: A Coarse-to-Fine Approach},
  author={Mingzhen Tan and Anqi Qiu},
  journal={IEEE Transactions on Image Processing},
  year={2016},
  volume={25},
  pages={4061-4074}
}
  • Mingzhen Tan, A. Qiu
  • Published 1 June 2016
  • Mathematics, Computer Science, Medicine
  • IEEE Transactions on Image Processing
Brain surface registration is an important tool for characterizing cortical anatomical variations and understanding their roles in normal cortical development and psychiatric diseases. However, surface registration remains challenging due to complicated cortical anatomy and its large differences across individuals. In this paper, we propose a fast coarse-to-fine algorithm for surface registration by adapting the large diffeomorphic deformation metric mapping (LDDMM) framework for surface… 
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