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.
Highlights
Rapid technological advancement contributes to the increasing use of digital radiographs in the clinical routine
This paper presents a new approach to the process of segmentation and bone recognition, as well as to the computation of parameters of a quantitative spinal deformity
System of a human body, such as the Cobb angle, centre sacral vertical line (CSVL), C7 plumb line (C7PL), proximal thoracic, main thoracic, thoracolumbar curves, pedicles, etc., that are so valuable in computer-assisted spinal surgeries
Summary
Rapid technological advancement contributes to the increasing use of digital radiographs in the clinical routine It offers a diverse application of digital processing techniques to find suitable patterns in x-ray images, to improve the quality of these images, and to organise a fast and efficient storage of them in databases [1]. This approach has segmented the spine and recognises it as an image, and prescribes a theoretical mathematical curve to it This gives a suitable abstraction of the environment of the spine and allows us to calculate many features for the support www.mii.lt/NA system of a human body, such as the Cobb angle, CSVL, C7PL, proximal thoracic, main thoracic, thoracolumbar curves, pedicles, etc., that are so valuable in computer-assisted spinal surgeries
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