The recognition and modelling of a backbone and its deformity
Articles
Ramūnas Markauskas
Vilnius University, Lithuania
Algimantas Juozapavičius
Vilnius University, Lithuania
Kęstutis Saniukas
Vilnius University, Lithuania
Giedrius Bernotavičius
Vilnius University, Lithuania
Published 2014-01-20
https://doi.org/10.15388/NA.2014.1.4
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Keywords

active contours
Hough
Falling Ball
mathematical modelling of the backbone
adolescent idiopathic scoliosis
spinal deformities
recognition

How to Cite

Markauskas, R. (2014) “The recognition and modelling of a backbone and its deformity”, Nonlinear Analysis: Modelling and Control, 19(1), pp. 55–66. doi:10.15388/NA.2014.1.4.

Abstract

In this article the authors present a method for the backbone recognition and modelling. The process of recognition combines some classical techniques (Hough transformation, GVF snakes) with some new (authors present a method for initial curvature detection, which they call the Falling Ball method). The result enables us to identify high-quality features of the spine and to detect the major deformities of backbone: the intercrestal line, centre sacral vertical line, C7 plumbline; as well as angles: proximal thoracic curve, main thoracic curve, thoracolumbar/lumbar. These features are used for measure in adolescent idiopathic scoliosis, especially in the case of treatment. Input data are just radiographic images, meet in everyday practice.

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