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.