Abstract #1114

Characterization of the Textural Features from Quantitative MRI for Determination of Cartilage Degeneration

Vladimir Juras¹, Stefan Toegel^2,3, Benedikt Hager^4,5,6, Markus Schreiner⁷, Veronika Janacova¹, Pavol Szomolanyi⁴, Didier Laurent⁸, Franziska Saxer⁹, Rahel Heule¹⁰, Oliver Bieri¹¹, Esther Raithel¹², Christoph Fuchssteiner¹³, Wolfgang Weninger¹³, Reinhard Windhager², and Siegfried Trattnig⁴

¹Medical University of Vienna, Vienna, Austria, ²Karl Chiari Lab for Orthopaedic Biology, Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Vienna, Austria, ³Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Vienna, Austria, ⁴High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, ⁵Austrian Cluster for Tissue Regeneration, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Viennq, Austria, ⁶CD Laboratory for MR Imaging Biomarkers (BIOMAK), Vienna, Austria, ⁷Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Vienna, Austria, ⁸Department of Translational Medicine, Novartis Institutes for Biomedical Research, Basel, Switzerland, ⁹Department of translational Medicine, Novartis Institutes for Biomedical Research, Basel, Switzerland, ¹⁰Center for MR Research, University Children's Hospital, Zurich, Switzerland, ¹¹Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland, ¹²Siemens Healthcare GmbH, Erlangen, Germany, ¹³Center for Anatomy and Cell Biology, Division of Anatomy, Medical University of Vienna, Vienna, Austria

Synopsis

Keywords: Cartilage, Osteoarthritis, cartilage; texture analysis, histologyTexture features derived from quantitative MRI maps of cartilage have attracted increasing attention from the osteoarthritis (OA) community in recent years. In this work, texture analysis was used on T2 maps and validated using histological analysis. Some texture features (autocorrelation, contrast and entropy) correlated with the Mankin score; autocorrelation also correlated with collagen orientation calculated from PLM images. The correlation between image-derived features with histological quality scores can be a decisive step towards monitoring of cartilage regeneration in-vivo and help to identify therapies that restore articular cartilage quantity and quality.

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