Abstract #5033

Automated evaluation of T2 relaxation time measurements in the knee cartilage at 3T

Ales Neubert^1,2, Craig Engstrom³, Ilaria Croci^3,4, Shekhar S. Chandra², Benjamin Schmitt⁵, Stuart Crozier², and Jurgen Fripp¹

¹The Australian E-Health Research Centre, CSIRO, Brisbane, Australia, ²School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia, ³School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Australia, ⁴K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway, ⁵Siemens Healthcare, Sydney, Australia

A software framework for fully automated analysis in 3D of regional distribution of biochemical MRI values in knee cartilage sub-regions was proposed. The framework was compared to values extracted using manual segmentations and strong agreement with the automated measures was found. The framework was applied in a preliminary analysis to assess the reproducibility of T2 relaxation time measurements at 3T with promising results. The proposed automated framework can facilitate investigations and advance the search for biomarkers of pathophysiological processes preceding the development of osteoarthritis.

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