Automated detection of focal cortical dysplasia type II with surface-based magnetic resonance imaging postprocessing and machine learning.

@article{Jin2018AutomatedDO,
  title={Automated detection of focal cortical dysplasia type II with surface-based magnetic resonance imaging postprocessing and machine learning.},
  author={Bo Jin and Balu Krishnan and Sophie Adler and Konrad Wagstyl and Wenhan Hu and Stephen E. Jones and Imad Najm and A V Alexopoulos and Kai Zhang and Jianguo Zhang and Mei-ping Ding and Shuang Wang and Z I Wang},
  journal={Epilepsia},
  year={2018},
  volume={59 5},
  pages={982-992}
}
OBJECTIVE Focal cortical dysplasia (FCD) is a major pathology in patients undergoing surgical resection to treat pharmacoresistant epilepsy. Magnetic resonance imaging (MRI) postprocessing methods may provide essential help for detection of FCD. In this study, we utilized surface-based MRI morphometry and machine learning for automated lesion detection in a… CONTINUE READING