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Abstract #2808

Volumetric tendon segmentation using ultra-short echo-time (UTE) imaging and bivariate relaxation parameter-based histogram analysis

Martin Krämer1, Marta B Maggioni1, and Jürgen R Reichenbach1
1Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany

Segmentation of tendons based on MRI data is challenging because of their very short transverse relaxation times and typically curved structure as well as small diameter. In this work, we performed combined T2* and T1 mapping using multi-echo and variable flip angle ultra-short echo-time imaging. Based on the resulting relaxation parameter maps, bivariate histograms were calculated which showed distinct clusters that could be ascribed to various tissues. Ranges for both relaxation parameters were defined using these histograms and applied to volumetrically segment and subsequently visualize the patellar and quadriceps tendon.

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