Abstract #1300

3D visualization of the cranial bone using fully automated segmentation based on ultra-short echo-time (UTE) imaging

Martin Krämer¹, Benedikt Herzau¹, and Jürgen R Reichenbach^1,2,3,4

¹Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, ²Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University Jena, Jena, Germany, ³Abbe School of Photonics, Friedrich Schiller University Jena, Jena, Germany, ⁴Center of Medical Optics and Photonics, Friedrich Schiller University Jena, Jena, Germany

To enable 3D-visualization of the cranial bone based on multi-echo ultra-short echo-time (UTE) data, a fully automated segmentation algorithm is presented. The algorithm concatenates several easy to implement processing steps while taking T₂^* maps calculated from three or more echoes or difference images calculated from the first two echoes of a UTE sequence as input. Comparison between a CT-based segmentation and the UTE-based segmentation showed very good agreement. The 3D visualization allowed easy assessment of the location and the course of cranial sutures as well as of diploic veins.

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