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Abstract #3533

Automated Cartilage Morphometric and T2 Mapping Using 3D-FSE MRI at 3T

Jurgen Fripp1, Rachel Surowiec2, Erin Lucas2, Craig Engstrom3, Chandra Shakes4, Raphael Schwarz5, Charles Ho2, Stuart Crozier6

1The Australian eHealth Research Centre, CSIRO ICT Centre, Brisbane, Qld, Australia; 2Steadman Philippon Research Institute, Vail, Colarado, United States; 3School of Human Movement Studies, University of Queensland, Brisbane, Qld, Australia; 4Australian eHealth Research Centre, ICT Centre, CSIRO, Herston, Queensland, Australia; 5Healthcare, Siemens, Erlangen, Bavaria, Germany; 6The School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Qld, Australia

Quantitative MRI sequences such as T2 mapping are considered to be sensitive to the earliest biochemical changes that occur prior to gross cartilage tissue loss during Osteoarthritis (OA). We present and validate the results of an automated segmentation scheme, to segment the cartilage from clinically 3D-Fast-Spin-Echo (3D-SPACE) MR images and extract biochemical information from co-registered T2 mapping images.