Christian
Ros1, Daniel Gllmar1, Juergen R. Reichenbach1
1Medical Physics Group, Institute for
Diagnostic and Interventional Radiology, Jena University Hospital, Jena,
Germany, Jena, Thuringia, Germany
In
recent years various fiber tractography methods have been evolved. Although
these resulting tractograms offers plenty of information, they are rarely
used in clinical routine due to the fact that processing is often
time-consuming and an experienced operator is essential to obtain good
results. To overcome this limitations cluster analysis can be employed to
partition fiber tracts into clusters through comparison of tract-specific
features or similarity measures. The aim of this study was to develop a new
combined similarity measure that combines a shape based distance measure with
other distance measures.