A Novel Computer-Aided Method to Evaluate Scoliosis Curvature using Polynomial Math Function
Autor: | Y Zhi-Han, J Cabrera-Escobar, A P Castro-Martin, HE Jiawei, V Romero-Rodríguez, M G Romero-Rodríguez, H Ying-Ying, M D Guamán-Lozada, D F Guamán-Lozada |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
lcsh:Medical physics. Medical radiology. Nuclear medicine
Polynomial scoliosis Radiological and Ultrasound Technology Cobb angle polynomial cobb-angle Intraclass correlation spinal curvatures lcsh:R895-920 Mathematical analysis Bioengineering Scoliosis medicine.disease CobB Curvature Pearson product-moment correlation coefficient methods symbols.namesake Spinal Curvatures symbols medicine Radiology Nuclear Medicine and imaging Original Article Mathematics |
Zdroj: | Journal of Biomedical Physics and Engineering, Vol 9, Iss 5, Pp 517-524 (2019) Journal of Biomedical Physics & Engineering |
ISSN: | 2251-7200 |
Popis: | Background : Scoliosis is a health problem that causes a side-to-side curvature in the spine. The curvature may have an “S” or “C” shape. To evaluate scoliosis, the Cobb angle has been commonly used. However, digital image processing allows the Cobb angle to be obtained easily and quickly, several researchers have determined that Cobb angle contains high variations (errors) in the measurements. Therefore, a more reproducible computer aided-method to evaluate scoliosis is presented. Material and Methods: In this analytical study, several polynomial curves were fitted to the spine curvature (4 th to 8 th order) of thirty plain films of scoliosis patients to obtain the Curvature-Length of the spine. Each plain film was evaluated by 3 physician observers. Curvature was measured twice using the Cobb method and the proposed Curvature-Length Technique (CLT). Data were analyzed by a paired-sample Student t-test and Pearson correlation method using SPSS Statistics 25. Results: The curve of 7 th order polynomial had the best fit on the spine curvature and was also used for our proposed method (CLT) obtaining a significant positive correlation when compared to Cobb measurements (r=0.863, P |
Databáze: | OpenAIRE |
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