DPhil, MSc, BEng
Quantitative Imaging, Processing and Machine Learning of Hip/Knee MRI
Yanda graduated with a first-class honours degree in BEng Materials Processing Engineering from Taiyuan University of Technology, China. After that, Yanda earned MSc in Advanced Materials Science and Engineering at Imperial College London, where he conducted his research in developing multi-layered Ultra High Temperature Ceramics (UHTCs) as the Thermal Protection System for aerospace re-entry vehicle.
Yanda's current research area involves developing an automated normalisation tool of cartilage for quantitative MRI scans, such as T2 and dGEMRIC, to enable voxel-based analysis and comparison in large cohort. By applying strong image processing and statistical modelling to clinical MRI, Yanda and his supervisors are working to develop a reliable and validated tool to process imaging data in clinical studies. Also, for this to aid every day clinical decision making for individual patients.
Yanda is co-supervised by Professors Cameron Brown and Siôn Glyn-Jones.