Abstract
Adolescent idiopathic scoliosis (AIS) is the most common type of spinal deformity in children in early puberty. Cobb angle is widely used in the diagnosis and treatment of scoliosis. However, existing Cobb angle measurement methods in clinical practice are time-consuming and unreliable. Accurate quantitative assessment of spinal curvature is an essential task in the clinical assessment and treatment planning of AIS. In this study, we proposed a top-down approach to accomplish the task of automatic spinal curvature estimation. We achieved 26.0535% of symmetric mean absolute percentage error (SMAPE).
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Acknowledgements
This work was supported by Natural Science Foundations of China under Grant 61703075 and 61806041, Sichuan Province Science and Technology Support Project under Grant 2017SZDZX0019.
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Zhao, S., Wang, B., Yang, K., Li, Y. (2020). Automatic Spine Curvature Estimation by a Top-Down Approach. In: Cai, Y., Wang, L., Audette, M., Zheng, G., Li, S. (eds) Computational Methods and Clinical Applications for Spine Imaging. CSI 2019. Lecture Notes in Computer Science(), vol 11963. Springer, Cham. https://doi.org/10.1007/978-3-030-39752-4_8
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DOI: https://doi.org/10.1007/978-3-030-39752-4_8
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