Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis

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Bibtex

@INPROCEEDINGS{ankele:miccai15,
     author = {Ankele, Michael and Schultz, Thomas},
      title = {Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
     series = {LNCS},
       year = {2015},
  publisher = {Springer},
   abstract = {Diffusional Kurtosis Imaging (DKI) is able to capture non-Gaussian diffusion and has become a
               popular complement to the more traditional Diffusion Tensor Imaging (DTI). In this paper, we
               demonstrate how strongly the presence of fiber crossings and the exact crossing angle affect
               measures from diffusional kurtosis, limiting their interpretability as indicators of tissue
               microstructure. We alleviate this limitation by modeling fiber crossings with a mixture of
               cylindrically symmetric kurtosis models. Based on results on simulated and on real-world data, we
               conclude that explicitly including crossing geometry in kurtosis models leads to parameters that are
               more specific to other aspects of tissue microstructure, such as scale and homogeneity.}
}