Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models

@inproceedings{Hutchinson2017AnalysisOT,
  title={Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models},
  author={Elizabeth B. Hutchinson and Alexandru Vlad Avram and M. Okan Irfanoglu and Cheng Guan Koay and Alan S. Barnett and Michal E. Komlosh and Evren {\"O}zarslan and Susan C. Schwerin and Sharon L. Juliano and Carlo Pierpaoli},
  booktitle={Magnetic resonance in medicine},
  year={2017}
}
PURPOSE This study was a systematic evaluation across different and prominent diffusion MRI models to better understand the ways in which scalar metrics are influenced by experimental factors, including experimental design (diffusion-weighted imaging [DWI] sampling) and noise. METHODS Four diffusion MRI models-diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), mean apparent propagator MRI (MAP-MRI), and neurite orientation dispersion and density imaging (NODDI)-were evaluated… CONTINUE READING