Andreas
Deistung1, Michal Strzelecki2, Andrzej Materka2,
Jrgen R. Reichenbach1
1Medical Physics Group, Department of
Diagnostic and Interventional Radiology , Jena University Hospital , Jena,
Germany; 2Institute of Electronics, Technical University of Lodz,
Lodz, Poland
Non-invasive
quantitative assessment of the cerebral vasculature is of high diagnostic and
therapeutic interest. The pre-requisite for the quantitative description of
blood vessels is voxel-wise classification into vessel and non-vessel structures.
In this contribution, we use a hybrid level-set approach that relies on both
boundary and region information to segment arterial and venous vessels from
simultaneously acquired time-of-flight (ToF) and susceptibility weighted
imaging (SWI) data to create a 3D representation of the arterial and venous
vasculature.