Abstract #0777

Atlas-Guided Cluster Analysis of Fiber Tracts

Christian Ros¹,², Daniel Guellmar¹, Martin Stenzel², Hans-Joachim Mentzel², Jrgen R. Reichenbach³

¹Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena , Jena, TH, Germany; ²Pediatric Radiology, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena , Jena, TH, Germany; ³Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, TH, Germany

With this contribution we present a new hybrid approach that incorporates anatomic information of a probabilistic white matter fiber bundle atlas into the cluster analysis. This technique enables the robust and consistent extraction of fiber bundles that correspond to the classes in the atlas. In addition, it offers the advantage to identify bundles in the data set that are not defined in the atlas. To validate the robustness and the consistent extraction for multiple subjects, data sets of 46 healthy subjects were processed and atlas-guided clustering was performed.