Dynamic analysis of functional Magnetic Resonance Images time series based on wavelet decomposition

@article{Liu2009DynamicAO,
  title={Dynamic analysis of functional Magnetic Resonance Images time series based on wavelet decomposition},
  author={Sen Liu and Jiexin Pu and Hongyi Zhang and Li Zhao},
  journal={2009 International Conference on Mechatronics and Automation},
  year={2009},
  pages={4765-4769}
}
In the research of brain and cognitive science, the key problem of analyzing functional Magnetic Resonance Imaging(fMRI) data is not only to detect and locate the functional active signal accurately but also to obtain the dynamic changes of activated areas. This paper represents a novel approach to decompose the time series data in activated areas based on… CONTINUE READING