The recognition and modelling of a backbone and its deformity

Ramūnas Markauskas; Algimantas Juozapavi?ius; K?stutis Saniukas; Giedrius Bernotavi?ius

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The recognition and modelling of a backbone and its deformity

机译：骨干及其畸形的识别和建模

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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.

机译：在本文中，作者提出了一种用于主干识别和建模的方法。识别过程结合了一些经典技术（霍夫变换，GVF蛇）和一些新技术（作者提出了一种用于初始曲率检测的方法，他们称之为“落球法”）。结果使我们能够识别出脊柱的高质量特征并检测出脊柱的主要畸形：缝间线，center中央垂直线，C7垂线;以及角度：近端胸曲线，主胸曲线，胸腰/腰。这些功能用于测量青少年特发性脊柱侧弯，特别是在治疗的情况下。输入数据仅是放射线图像，可以在日常实践中满足。

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《Nonlinear Analysis : Modelling and Control》 |2014年第1期|共12页
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Ramūnas Markauskas; Algimantas Juozapavi?ius; K?stutis Saniukas; Giedrius Bernotavi?ius;
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The recognition and modelling of a backbone and its deformity

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