Computer-aided Measurement System Using Image Processing for Measuring Cobb Angle in Scoliosis

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MOFTIAN NAZILA; SAMAD SOLTANI TAHA; SALAHZADEH ZAHRA; HOSSEIN POURFEIZI HOJJAT; Gheibi Yousef; Fazlollahi Amir; REZAEI HACHESU PEYMAN

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Journal: Middle East Journal of Rehabilitation and Health Studies Year:2022 | Volume:9 | Issue:1 Page(s): 0-0

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Title

Computer-aided Measurement System Using Image Processing for Measuring Cobb Angle in Scoliosis

Author(s)

Keywords

Cobb Angle

Scoliosis

Spine Deformity

Radiography

Image Processing

Decision Support System

Abstract

Background: One of the spine deformities is Scoliosis, and Cobb Angle is generally used to assess it. Objectives: In this study, a computer-aided measurement system (CAMS) was presented as a new repeatable and reproducible approach to assess the Cobb Angle in idiopathic Scoliosis patients. Methods: Python libraries, including OpenCV and Numpy were used for Image Processing and design of the software. To assess the repeatability and reproducibility of the CAMS, a series of 98 anterior-posterior radiographs from patients with idiopathic Scoliosis were used. Assessments were done by five independent observers. Each radiograph was assessed by each observer three times with a minimum break of two weeks among assessment. The single measure intraclass correlation coefficient (ICC), the mean absolute difference (MAD), and the standard error measurement (SEM) values were used for intra-and inter-observer reliability. Results: The inter-observer analysis indicated that the ICCs ranged from 0. 94-0. 99, and the MAD between manual and CAMS were less than 3°, . For intra-observer measurements, the combined SEM between all observers for the manual and CAMS was 1. 79°,and 1. 27°, , respectively. An ICC value of 0. 97 with 95% conﬁ, dence interval (CI) was excellent in CAMS for inter-observer reliability. The MAD of CAMS was 2. 18 ,2. 01 degrees. Conclusions: The CAMS is an effective and reliable approach for assessing scoliotic curvature in the standing radiographs of thoraco-lumbar. Moreover, CAMS can accelerate clinical visits, and its calculation results are reliable.

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APA: Copy

MOFTIAN, NAZILA, SAMAD SOLTANI, TAHA, SALAHZADEH, ZAHRA, HOSSEIN POURFEIZI, HOJJAT, Gheibi, Yousef, Fazlollahi, Amir, & REZAEI HACHESU, PEYMAN. (2022). Computer-aided Measurement System Using Image Processing for Measuring Cobb Angle in Scoliosis. MIDDLE EAST JOURNAL OF REHABILITATION AND HEALTH STUDIES, 9(1), 0-0. SID. https://sid.ir/paper/1059367/en

Vancouver: Copy

MOFTIAN NAZILA, SAMAD SOLTANI TAHA, SALAHZADEH ZAHRA, HOSSEIN POURFEIZI HOJJAT, Gheibi Yousef, Fazlollahi Amir, REZAEI HACHESU PEYMAN. Computer-aided Measurement System Using Image Processing for Measuring Cobb Angle in Scoliosis. MIDDLE EAST JOURNAL OF REHABILITATION AND HEALTH STUDIES[Internet]. 2022;9(1):0-0. Available from: https://sid.ir/paper/1059367/en

IEEE: Copy

NAZILA MOFTIAN, TAHA SAMAD SOLTANI, ZAHRA SALAHZADEH, HOJJAT HOSSEIN POURFEIZI, Yousef Gheibi, Amir Fazlollahi, and PEYMAN REZAEI HACHESU, “Computer-aided Measurement System Using Image Processing for Measuring Cobb Angle in Scoliosis,” MIDDLE EAST JOURNAL OF REHABILITATION AND HEALTH STUDIES, vol. 9, no. 1, pp. 0–0, 2022, [Online]. Available: https://sid.ir/paper/1059367/en

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