A new straightforward method for semi-automated segmentation of trabecular bone from cortical bone in diverse and challenging morphologies.

ABSTRACT: Many physiological, biomechanical, evolutionary and clinical studies that explore skeletal structure and function require successful separation of trabecular from cortical compartments of a bone that has been imaged by X-ray micro-computed tomography (micro-CT) prior to analysis. Separation often involves manual subdivision of these two similarly radio-opaque compartments, which can be time-consuming and subjective. We have developed an objective, semi-automated protocol which reduces user bias and enables straightforward, user-friendly segmentation of trabecular from the cortical bone without requiring sophisticated programming expertise. This method can conveniently be used as a 'recipe' in commercial programmes (Avizo herein) and applied to a variety of datasets. Here, we characterize a

SUBMITTER: Herbst EC 

PROVIDER: S-EPMC8334830 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature