ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 129-135, 2016
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-5/129/2016/
doi:10.5194/isprs-annals-III-5-129-2016
 
06 Jun 2016
REVIEW OF ADVANCES IN COBB ANGLE CALCULATION AND IMAGE-BASED MODELLING TECHNIQUES FOR SPINAL DEFORMITIES
V. Giannoglou and E. Stylianidis School of Urban-Regional Planning and Development Engineering, Aristotle University of Thessaloniki, 54124, Greece
Keywords: Scoliosis, Spine, Cobb angle, X-rays, 3D model, Image based techniques Abstract. Scoliosis is a 3D deformity of the human spinal column that is caused from the bending of the latter, causing pain, aesthetic and respiratory problems. This internal deformation is reflected in the outer shape of the human back. The golden standard for diagnosis and monitoring of scoliosis is the Cobb angle, which refers to the internal curvature of the trunk. This work is the first part of a post-doctoral research, presenting the most important researches that have been done in the field of scoliosis, concerning its digital visualisation, in order to provide a more precise and robust identification and monitoring of scoliosis. The research is divided in four fields, namely, the X-ray processing, the automatic Cobb angle(s) calculation, the 3D modelling of the spine that provides a more accurate representation of the trunk and the reduction of X-ray radiation exposure throughout the monitoring of scoliosis. Despite the fact that many researchers have been working on the field for the last decade at least, there is no reliable and universal tool to automatically calculate the Cobb angle(s) and successfully perform proper 3D modelling of the spinal column that would assist a more accurate detection and monitoring of scoliosis.
Conference paper (PDF, 1083 KB)


Citation: Giannoglou, V. and Stylianidis, E.: REVIEW OF ADVANCES IN COBB ANGLE CALCULATION AND IMAGE-BASED MODELLING TECHNIQUES FOR SPINAL DEFORMITIES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-5, 129-135, doi:10.5194/isprs-annals-III-5-129-2016, 2016.

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