A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis

@article{Fan2018ATH,
  title={A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis},
  author={Yonghui Fan and G. Wang and Natasha Lepore and Yalin Wang},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2018},
  volume={11072},
  pages={
          420-428
        }
}
  • Yonghui Fan, G. Wang, Yalin Wang
  • Published 16 September 2018
  • Biology
  • Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Cortical thickness analysis of brain magnetic resonance images is an important technique in neuroimaging research. There are two main computational paradigms, namely voxel-based and surface-based methods. Recently, a tetrahedron-based volumetric morphometry (TBVM) approach involving proper discretization methods was proposed. The multi-scale and physics-based geometric features generated through such methods may yield stronger statistical power. However, several challenges, such as the lack of… 
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