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Abstract #3248

Regularized k-means clustering for segmentation of brain tissues using hemodynamic features in DSC-MRI

Jonathan Arvidsson1,2, Oscar Jalnefjord1,2, Fredrik Kahl3, Magnus Båth1,2, and Göran Starck1,2

1Department of Radiation Physics, University of Gothenburg, Gothenburg, Sweden, 2Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 3Department of Electical Engineering, Chalmers University of Technology, Gothenburg, Sweden

Inclusion of voxels containing CSF and/or blood vessels can bias ROI statistics used in DSC-MRI analysis. In order to address this problem we propose an automatic method for tissue segmentation based on hemodynamic features obtained from DSC-MRI data. Application of the method in test subjects shows promising results.

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