Multiparametric MRI ISODATA ischemic lesion analysis: correlation with the clinical neurological deficit and single-parameter MRI techniques.

@article{Mitsias2002MultiparametricMI,
  title={Multiparametric MRI ISODATA ischemic lesion analysis: correlation with the clinical neurological deficit and single-parameter MRI techniques.},
  author={Panayiotis D. Mitsias and Michael Adam Jacobs and Rabih Hammoud and Mamatha Pasnoor and Sunitha Santhakumar and Nikolaos I H Papamitsakis and Hamid Soltanian-Zadeh and Mei Lu and Michael Chopp and Suresh C. Patel},
  journal={Stroke},
  year={2002},
  volume={33 12},
  pages={2839-44}
}
BACKGROUND AND PURPOSE The purpose of this study was to show that the computer segmentation algorithm Iterative Self-Organizing Data Analysis Technique (ISODATA), which integrates multiple MRI parameters (diffusion-weighted imaging [DWI], T2-weighted imaging [T2WI], and T1-weighted imaging [T1WI]) into a single composite image, is capable of defining the ischemic lesion in a time-independent manner equally as well as the MRI techniques considered the best for each phase after stroke onset (ie… CONTINUE READING
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