Segmentation of bone in CT images using global adaptive thresholding

被引：1

作者：

Rainier Ortega, Dolgis ^{[1
]}

Gutierrez, Guivey ^{[1
]}

Miguel Iznaga, Arsenio ^{[1
]}

Rodriguez, Tania ^{[1
]}

de Beule, Matthieu ^{[2
]}

Verhegghe, Benedict ^{[2
]}

机构：

[1] Inst Super Politecn Jose Antonio Echeverria, Fac Ingn Mecan, Havana, Cuba

[2] Univ Ghent, Fac Ingn, Inst Tecnol Biomed, Gante, Belgium

来源：

IMAGEN DIAGNOSTICA | 2014年 / 5卷 / 02期

关键词：

Global threshold; Adaptive threshold; Medical image processing; Bone 3D reconstruction; CT image; Geometrical model; Decomposition;

D O I：

10.1016/j.imadi.2014.03.001

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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.

引用

页码：68 / 73

页数：6

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