Abstract #1538

Algorithm for Semi-Automatic Segmentation of Hip Acetabular Cartilage Applied to Patients with Femoroacetabular Impingement

Casey P. Johnson¹, Joost Mulders², Douglas Martin³, Patrick M. Morgan⁴, and Jutta M. Ellermann³

¹Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, ²Consultant, Costa Mesa, CA, United States, ³Radiology, University of Minnesota, Minneapolis, MN, United States, ⁴Orthopaedic Surgery, University of Minnesota, Minneapolis, MN, United States

A new algorithm to segment the acetabular cartilage based on a single 3D DESS data set is presented. This development was motivated by a need to simplify visualization of 3D quantitative maps of acetabular cartilage damage for surgical planning and arthroscopic correlation. A rapid segmentation algorithm is an important element of this framework, which will be used to guide reparative arthroscopic surgery of patients with femoroacetabular impingement.

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