Date of Publication :1st April 2018

Abstract: Scoliosis is a 3-dimensional abnormality of the spine that usually found in 2- 4% of adolescents population stated by the statistics of the country for scoliosis. Scoliosis is a disorder in which there is a sideways curve of the spine. Curves are often S-shaped or C-shaped. One of the methods to ascertain a patient with scoliosis is through using Cobb angle measurement. Any Cobb angle measurement takes about 20 – 30 minutes of inter and intraobserver. Scoliosis prediction is of great significance to reduce the uncertainty for doctors on deciding the optimum treatment for patients. Therefore the importance of the automatic spinal curve detection system is to detect any spinal disorder quicker and faster. The challenging task in computerized method lies in totally automating the method of curvature measurement from digital X-ray images. The importance of the automatic spine curve detection system is to detect ant spinal disorder quicker and faster. The proposed research work uses a template matching based on Sum of Squared Difference (SSD) to estimate the location of vertebrae. By using polynomial curve fitting method, spinal curvature estimation can be done. In this paper, the performance of SSD used to detect a variety of data sources of X-ray from numerous patients.The results from the implementation indicate that the proposed algorithm can be used to detect all the X-ray images.

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