Dr. Ales Neubert
CSIRO (Commonwealth Scientific and Industrial Research Organisation) and University of Queensland, Brisbane, Australia
Osteoarthritis (OA) is a highly prevalent debilitating condition characterized by breakdown of joint cartilage and underlying bone. The clinical picture of the pathophysiological processes preceding the development of OA is not well understood and routinely used diagnostic tools usually identify the disease after irreversible joint damage has occurred. Novel methods of MRI imaging have the potential to detect subtle compositional changes in the cartilage structure and detect the degeneration early. However, they require computerized methods for efficient extraction of quantitative information from the MRI that is not readily available. In this talk, I will present our current research in development of computerized techniques for advanced MRI analysis of musculoskeletal structures (knee, hip, shoulder, ankle, spine). I will present methods for automated segmentation of bones and joint cartilages, as well as algorithms for computation of morphological and biochemical imaging biomarkers of the joint damage. I will show how the proposed quantitative descriptors were used in clinical validation studies and their potential for computer-aided diagnosis, treatment planning and evaluation. Bio: Ales is a researcher in medical image analysis at CSIRO (Australian national research agency) and the University of Queensland, Brisbane, Australia. He completed a Master’s degree in the field of Applied Mathematics, Computer Vision and Machine Learning in 2009 at Ecole Centrale Paris, France and was awarded a PhD degree at the University of Queensland in 2014 for his thesis entitled “Clinically based computerized analysis of MRI of the spine.” Since then he has worked as a postdoctoral research fellow in CSIRO, where he has investigated new technologies for automated segmentation and quantitative analysis of MRI of musculoskeletal structures. The developed algorithms have been translated into a software product for Siemens’ post-processing platform “Frontiers”. His research interests include segmentation of musculoskeletal structures, improved diagnosis of musculoskeletal chronic conditions and injuries, bone modelling and orthopaedic surgical planning.