BounTI (boundary-preserving threshold iteration): A user-friendly tool for automatic hard tissue segmentation.

ABSTRACT: X-ray Computed Tomography (CT) images are widely used in various fields of natural, physical, and biological sciences. 3D reconstruction of the images involves segmentation of the structures of interest. Manual segmentation has been widely used in the field of biological sciences for complex structures composed of several sub-parts and can be a time-consuming process. Many tools have been developed to automate the segmentation process, all with various limitations and advantages, however, multipart segmentation remains a largely manual process. The aim of this study was to develop an open-access and user-friendly tool for the automatic segmentation of calcified tissues, specifically focusing on craniofacial bones. Here we describe BounTI, a novel segmentation algorithm which preserves boun

SUBMITTER: Didziokas M 

PROVIDER: S-EPMC11547236 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature