Meeting Banner
Abstract #5033

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

Ales Neubert1,2, Craig Engstrom3, Ilaria Croci3,4, 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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here