ABSTRACT
Fabric tensors aim at modelling through tensors both orientation and anisotropy of trabecular bone. Many methods have been proposed for computing fabric tensors from segmented images (cf. Moreno et al., 2013 for a complete review). However, due to large bias generated by partial volume effects, these methods are usually not applicable to images acquired in vivo, where the resolution of the images is in the range of the trabecular thickness. Recently, different methods have been proposed to deal with this problem. In general, these methods directly compute the fabric tensor on the gray-scale image, avoiding in that way the problematic segmentation step.
