Automatic extraction of vertebral endplates from scoliotic radiographs using customized filter

被引：34

作者：

Anitha H. ^{[1
]}

Karunakar A.K. ^{[2
]}

Dinesh K.V.N. ^{[3
]}

机构：

[1] Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal University, Manipal

[2] Department of Computer Application, Manipal Institute of Technology, Manipal University, Manipal

[3] Department of Orthopaedics, Kasturba Medical College, Manipal University, Mangalore

来源：

Biomedical Engineering Letters | 2014年 / 4卷 / 02期

关键词：

Cobb angle; Derivative filters; Diffusion filters; Scoliosis; Sigmoid filters; Vertebral endplate;

D O I：

10.1007/s13534-014-0129-z

中图分类号：

学科分类号：

摘要：

Purpose: The scoliosis diagnosing system needs radio-graphic information in terms of spinal curvature estimated using Cobb's definition. The evaluation process and treatment analysis depends on the reliability and reproducibility of the spine curvature in the frontal view. Methods: Manual identification of end vertebrae and other anatomical features required for the estimation of spinal curvature causes variability and unreliability at higher rate. This paper proposes an automated system to extract the required anatomical features using customized filter. The customized filter used in this paper is a combination of anisotropic, sigmoid and differential filter. Combination of these filters automatically extracts the anatomical features in terms of required vertebral endplates. Automatic identification of these endplates eliminates the human intervention involved in the quantification of Cobb angle. Results and Conclusions: Analysis of the results reveals significant difference between the observer variability between manual, computer assisted and computerized image understanding system in terms of inter and intra cross correlation coefficient ratio (ICCR). © 2014 Korean Society of Medical and Biological Engineering and Springer.

引用

页码：158 / 165

页数：7

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