Abstract. Osteoporosis is due to the following two phenomena: a reduction bone mass and a degradation of the microarchitecture of bone tissue. In this paper, we propose a method for extracting morphological information enabling the description of bone structure from radiological images of the calcaneus. Our main contribution relies on the fact that we provide bone descriptors close to classical 3D-morphological bone parameters. The first step of the proposed method consists in extracting the grey-scale skeleton of the microstructures contained in the underlying images. After an appropriate processing, the resulting skeleton provides discriminant features between osteoporotic patients and control patients. Statistical tests corroborate this discrimination property.

No abstract

No abstract

International audienceThe trabecular bone is a complex random network of interconnected rods and plates. Its trabecular structure is constantly remodelling to ensure a maintenance function. A simulated bone remodelling process was discussed in a previous study based on a BMU germ-grain model where type and orientation of local structure related to mechanical stress were not considered. In this study, we explore the potential ability of a 3D-skeleton coupled with a statistical tensor analysis to locally describe the trabecular structure for binary images. In order to add new constraints for BMU validation and BMU-shape characterisation in the simulator, we propose a strategy using inertia tensors based on the skeleton ensuring the feasibility of the entire process