Abstract: A method for the analysis of three dimensional scan data representing an articular cartilage is provided to extract a quantitative parameter indicative of joint pathology. A measure of local curvature of the cartilage is determined within a region of interest. The value of the quantitative parameter of this joint derived from this measure is compared with the value of a similar quantitative parameter previously established in respect of healthy joints and/or joints characterized by a pathology.

Abstract: A method of deriving an estimate of the extent of fracture in a vertebra shown in an image of part of A spine is provided. The images of at least two vertebrae are segmented to obtain data representative of the shape and size of each of the vertebrae. An approximation of the shape of a first of the vertebrae is reconstructed by comparing the data obtained for a second of the two vertebrae with a mathematical model of at least the same two vertebrae of an unfractured spine. The unfractured shape of the first vertebra is predicted to enable a comparison of the shape and size of the first vertebra as imaged with the predicted unfractured shape and size. The difference between the respective images is subsequently computed to obtain a result representative of the extent of fracture in the first vertebra.

Abstract: The risk of future fracture or deformity of vertebrae of a spine may be estimated by processing an image of at least one vertebra of a spine to compare data representing the appearance of the at least one vertebra with a statistical model of a corresponding part of a spine, the statistical model being formed from data representing images of spines for which information about the degree of fracture or deformity of each spine at a subsequent time is known, and deriving a measure of the similarity between the at least one vertebra of the spine and the model, which measure is representative of the likelihood that the spine will subsequently sustain a fracture or become deformed.

Abstract: A method of processing data derived from an image of at least part of a spine is provided for estimating the risk of a future fracture in vertebrae of the spine. Position data relating to at least four neighbouring vertebrae of the spine is processed. The curvature of the spine at least two of the neighbouring vertebrae is calculated. The different curvature values are computed to obtain a value representative of the degree of irregularity in curvature of the spine and using the degree of irregularity, an estimate of the risk of a future fracture in vertebrae of the spine is provided. A higher degree of irregularity indicates a higher risk of future fracture.

Abstract: A method of deriving an estimate of the extent of fracture in a vertebra shown in an image of part of A spine is provided. The images of at least two vertebrae are segmented to obtain data representative of the shape and size of each of the vertebrae. An approximation of the shape of a first of the vertebrae is reconstructed by comparing the data obtained for a second of the two vertebrae with a mathematical model of at least the same two vertebrae of an unfractured spine. The unfractured shape of the first vertebra is predicted to enable a comparison of the shape and size of the first vertebra as imaged with the predicted unfractured shape and size. The difference between the respective images is subsequently computed to obtain a result representative of the extent of fracture in the first vertebra.