Diffusion tensor imaging in primary brain tumors: reproducible quantitative analysis of corpus callosum infiltration and contralateral involvement using a probabilistic mixture model.

@article{Stieltjes2006DiffusionTI,
  title={Diffusion tensor imaging in primary brain tumors: reproducible quantitative analysis of corpus callosum infiltration and contralateral involvement using a probabilistic mixture model.},
  author={Bram Stieltjes and Mathias Schl{\"u}ter and Bernd Didinger and Marc-Andr{\'e} Weber and Horst K. Hahn and Peter Parzer and Jan Rexilius and Olaf Konrad-Verse and Heinz-Otto Peitgen and Marco Essig},
  journal={NeuroImage},
  year={2006},
  volume={31 2},
  pages={531-42}
}
Diffusion tensor imaging (DTI) has been advocated as a promising tool for delineation of the extent of tumor infiltration by primary brain tumors. First reports show conflicting results mainly due to difficulties in reproducible determination of DTI-derived parameters. A novel method based on probabilistic voxel classification for a user-independent analysis of DTI-derived parameters is presented and tested in healthy controls and patients with primary brain tumors. The proposed quantification… CONTINUE READING