Abstract: A method for predicting a type of surgery required for a patient comprises: receiving imaging data including at least one image acquired of a patient's anatomy; determining at least one parameter of the patient's anatomy based on the image data, the at least one parameter including at least one of a B-score and a C-score; receiving patient data regarding the patient; generating, based at least in part on the at least one parameter and the patient data, a predicted procedure for the patient; and outputting the predicted procedure for display within a graphical user interface (GUI).

Abstract: A method and system for detection and tracking of osteoporosis is disclosed. A method of characterizing an image of a target vertebra includes building a computer model from a set of sample images of pathological and non-pathological variations of vertebrae representing variations in shape of the vertebrae. The method also includes receiving an image of a target vertebra of a subject and automatically estimating contours of lateral outlines of the superior and the inferior cortical endplates of the image. The parameters of the model are varied to determine a set that represents a model shape that approximates the estimated contours of the outlines of the cortical endplates. The method includes automatically characterizing the target vertebra based on the set of model parameters that are determined and outputting on a display device the characterization of the target vertebra.

Abstract: Methods for producing an image indicative of arthritic symptomatology are provided. The methods during a model building phase create a constrained deformable statistical template. The methods then during a runtime phase fit a plurality of loci in a digitized target radiograph of the specified joint; parameterize positions of the plurality of loci fitted in the digitized target radiograph to generate an instance of the statistical template by deriving values for parameters of the digitized target radiograph from the statistical template; search the digitized target radiograph by applying the statistical template to the digitized target radiograph until an optimal fit of the statistical template to at least one region of the digitized target radiograph is found; and produce a comparison image by comparing the at least one region of the digitized target radiograph with the optimal fit of the statistical template.

Abstract: A method and system for detection and tracking of osteoporosis is disclosed. A method of characterizing an image of a target vertebra includes building a computer model from a set of sample images of pathological and non-pathological variations of vertebrae representing variations in shape of the vertebrae. The method also includes receiving an image of a target vertebra of a subject and automatically estimating contours of lateral outlines of the superior and the inferior cortical endplates of the image. The parameters of the model are varied to determine a set that represents a model shape that approximates the estimated contours of the outlines of the cortical endplates. The method includes automatically characterizing the target vertebra based on the set of model parameters that are determined and outputting on a display device the characterization of the target vertebra.

Abstract: Methods for producing an image indicative of arthritic symptomatology are provided. The methods during a model building phase create a constrained deformable statistical template. The methods then during a runtime phase fit a plurality of loci in a digitized target radiograph of the specified joint; parameterize positions of the plurality of loci fitted in the digitized target radiograph to generate an instance of the statistical template by deriving values for parameters of the digitized target radiograph from the statistical template; search the digitized target radiograph by applying the statistical template to the digitized target radiograph until an optimal fit of the statistical template to at least one region of the digitized target radiograph is found; and produce a comparison image by comparing the at least one region of the digitized target radiograph with the optimal fit of the statistical template.