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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

J. M. Raya Garcia del Olmo, A. Horng, L. König, M. Reiser, Ch. Glaser
Detecting Statistically Significant Changes in Cartilage Thickness with Sub-Voxel Precision
Proceedings of the 18th congress of the International Society for Magnetic Resonance in Medicine (ISMRM 2010), Stockholm, Sweden. Presentation 3192, electronic poster session “Meniscus & Cartilage” (bib)

MRI-based quantification of the cartilage thickness is a robust and well validated technique for the assessment of cartilage degradation in osteoarthritis, and for the analysis of cartilage deformations after exercise. Nowadays changes in cartilage thickness are evaluated by comparing averaged thickness over regions defined on an anatomical basis. In this work we demonstrate that working with a sub-voxel precision allow detecting statistically significant changes in the cartilage thickness between longitudinally acquired datasets with sub-voxel precision. The method has been tested on a small group of healthy volunteers by measuring them before and after 20 min squatting.
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