Novel image analysis algorithms to identify causes of chronic back pain
Chronic back pain, a major source of disability worldwide, has biomechanical, inflammatory, neurological and psychological causes. Conventional imaging and evaluation cannot point to a particular cause of back pain, but biomechanical models are capable of distinguishing between different aetiologies. The EU-funded iBack-epic aims to use novel image analysis techniques to identify biomechanical and inflammatory causes of back pain in a large cohort of participants. The study will capitalise on the recently developed spine labelling and segmentation algorithms based on deep learning to calculate individual biomechanical, functional and morphometric parameters of the spine. The quantitative image-based parameters will help discriminate between normal ageing and pathologic degeneration and identify conditions linked to the development of chronic back pain.
Fields of science
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Call for proposalSee other projects for this call
Funding SchemeHORIZON-AG - HORIZON Action Grant Budget-Based
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