Development of Prescreening Algorithm Based on a Radius of Curvature for Analysis of Depth Data of Scoliosis Patient’s Back Surface 


Vol. 42,  No. 8, pp. 1688-1694, Aug.  2017
10.7840/kics.2017.42.8.1688


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  Abstract

Idiopathic scoliosis refers to the case that the cause of the vertebral deformities isn’t found and occurs frequently during the growing period. There are radioactive and non-radioactive methods that first one isn’t appropriate for the children to periodically diagnose and to determine progress of the vertebral deformation since it is harmful, and the other one, judging by appearance or using instrument has low accuracy. And a method using visible light has high accuracy but has high cost. In this study, therefore, depth data of the back surface was obtained using an infrared camera to avoid the problem of exposure to radiation, and to test the scoliosis with high accuracy and the algorithm was developed to estimate the spine to determine the degree of rotation of the vertebral body using the radius of curvature. In the algorithm, the spine was estimated using the radius of curvature from the depth data when observed from the horizontal plane, and the algorithm has high accuracy. The spine reflects the curvature of the back surface and so later, can be estimated to the degree, the vertebra is twisted. And it’s expected to be able to implement a low-cost and high accuracy non-radioactive scoliosis prescreening method.

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  Cite this article

[IEEE Style]

S. Shin, M. Song, L. Hwang, S. Kim, J. Kim, T. Shin, "Development of Prescreening Algorithm Based on a Radius of Curvature for Analysis of Depth Data of Scoliosis Patient’s Back Surface," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 8, pp. 1688-1694, 2017. DOI: 10.7840/kics.2017.42.8.1688.

[ACM Style]

Su-yeon Shin, Moon Song, La-young Hwang, Seung-chan Kim, Jeong-jin Kim, and Tae-min Shin. 2017. Development of Prescreening Algorithm Based on a Radius of Curvature for Analysis of Depth Data of Scoliosis Patient’s Back Surface. The Journal of Korean Institute of Communications and Information Sciences, 42, 8, (2017), 1688-1694. DOI: 10.7840/kics.2017.42.8.1688.

[KICS Style]

Su-yeon Shin, Moon Song, La-young Hwang, Seung-chan Kim, Jeong-jin Kim, Tae-min Shin, "Development of Prescreening Algorithm Based on a Radius of Curvature for Analysis of Depth Data of Scoliosis Patient’s Back Surface," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 8, pp. 1688-1694, 8. 2017. (https://doi.org/10.7840/kics.2017.42.8.1688)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880