project064

Osteoarthritis (OA) is a highly multifactorial disorder that largely lacks information for proper patient stratification. The core pathophysiology of the disorder consists in a disregulation of articular chondrocyte activity. Mechanical factors are thought to be important players and are transmitted down to the cells depending on patient morphology and body dynamics. Though they might provide important descriptors to classify population at risk. Finite element modelling has the potential to translate body mass and motion and joint morphological information into stress, strain and fluid velocity fields inside cartilage tissues, but must be connected with clinical data. Specifically, the work will consist in the generation of an automated workflow of knee joint patient-specific modelling and clinical labelling. A pilot will be created for a clinical cohort of 80 patients acquired in collaboration with the Rheumatology Service of the Hospital del Mar. MRI segmentation and mesh morphing algorithms will be connected to the RedCap platform for clinical data management, through integration of 3D Slicer, XNat and BCPD++ codes. The pilot shall be able to generate and store automatically secondary model and simulation data while the clinical information shall be propagated as metadata to the secondary data, for proper heterogeneous data mining and advanced patient stratification tests.

Supervisors: Francis Chemorrion, Corine Post, Jérôme Noailly