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An accurate planar visualization (curved planar reformation - CPR) ofintracranial arteries is mandatory for an improved luminal and mural assessmentespecially in low resolution Magnetic Resonance Imaging (MRI) data setsacquired in standard clinical settings. CPR visualization methods based on thecenterline of the desired structure are fast and easy to implement but theaccuracy strongly depends on the spatial resolution of the 3D data set and thesize of the desired vessel. In the manuscript, a novel algorithm for fast androbust centerline calculation in multi-contrast 3D MRI data is presented. Itconsiders the extracted surface of the vessel structure for a more accuratecenterline prediction resulting in an enhanced CPR visualization of smallvessels.

Robust Centerline Prediction for Accurate Vessel Wall Visualization of Intracranial Vessels in Multi-Contrast 3D MRI Data