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.