Segmentation of bone in CT images using global adaptive thresholding

Bone is the main element of the skeleton. It support soft tissues, protects vital organs and constitutes a lever system that amplifies forces generated during muscular contraction. A description is presented of the mechanical behavior of hard tissues by means of discrete models going through various stages of analysis, which range from digital image processing until the specification of physical properties of tissue to the discrete model. The decomposition of these models into their constituent parts being a key element. In this paper, we discuss a method for the geometric description of bones from a sequence of computed tomography images, combining global and adaptive thresholding to determine the geometric domain of bones in each slice. Results: obtained showed that this method constitutes an effective proposal for the problemof partial volume and separation of bones on joints. (C) 2013 ACTEDI. Published by Elsevier Espana, S.L.U. All rights reserved.