Abstract: A method for automated segmentation of a bone in an image dataset of a region of a human body, wherein said region comprises at least two adjacent bones, and wherein one of the bones comprises a shaft region and a head region, the method comprising identifying in the image dataset voxels belonging to a contiguous volume comprising both bones based on a density threshold; extracting a subset comprising the head region of the first bone, based on a boundary image slice; and applying a trained machine learning classifier to said subset, to generate a classification of each of voxel as belonging to one of the bones or a none-bone tissue.

Abstract: A computer-implemented method for providing FEA analysis of at least a portion of at least one bone in a patient, the method comprising steps of: providing at least one image of at least a portion of a bone; selecting at least a portion of the bone; automatically performing an FE analysis of the selected portion of the bone; and displaying at least one result of the FE analysis. Bone selection and display of the bone, the selected portion thereof, and the results of the FE analysis occur via a hand-held device, with processing and data storage performed remotely.

Abstract: A computer-implemented method for providing FEA analysis of at least a portion of at least one bone in a patient, the method comprising steps of: providing at least one image of at least a portion of a bone; selecting at least a portion of the bone; automatically performing an FE analysis of the selected portion of the bone; and displaying at least one result of the FE analysis. Bone selection and display of the bone, the selected portion thereof, and the results of the FE analysis occur via a hand-held device, with processing and data storage performed remotely.