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Abstract #3611

A Semi-Automatic Approach for the Extraction of White Matter Fiber Bundles Across Subjects

Christian Ros1, Daniel Gllmar1, Martin Stenzel2, Hans-Joachim Mentzel2, Jrgen Rainer Reichenbach1

1Medical Physics Group, Department for Diagnostic and Interventional Radiology I, Jena University Hospital, Jena, Thuringia, Germany; 2Pediatric Radiology, Department for Diagnostic and Interventional Radiology I, Jena University Hospital, Jena, Thuringia, Germany

With this contribution we present a new method for the semi-automatic, consistent extraction of fiber bundles from multiple tractography data sets. For every fiber bundle, reliability maps were computed to assess the contribution of every voxel to the bundle. The reliability maps were then used to classify the fiber tracts of each data set. Due to the use of multiple tractography data sets, we were able to correct erroneous or wrongly labeled tracts that usually occur in individual data sets. Resulting fiber bundles are more consistent across subjects compared to bundles that are extracted with the ROI based methods.

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Keywords

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