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).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Accurate automated spinal curvature estimation MICCAI 2019 challenge (2019). https://aasce19.grand-challenge.org/Home/
Anitha, H., Karunakar, A., Dinesh, K.: Automatic extraction of vertebral endplates from scoliotic radiographs using customized filter. Biomed. Eng. Lett. 4(2), 158–165 (2014)
Anitha, H., Prabhu, G.: Automatic quantification of spinal curvature in scoliotic radiograph using image processing. J. Med. Syst. 36(3), 1943–1951 (2012)
Chen, B., Xu, Q., Wang, L., Leung, S., Chung, J., Li, S.: An automated and accurate spine curve analysis system. IEEE Access 7, 124596–124605 (2019)
Cobb, J.: Outline for the study of scoliosis. Instr. Course Lect. AAOS 5, 261–275 (1948)
Pruijs, J., Hageman, M., Keessen, W., Van Der Meer, R., Van Wieringen, J.: Variation in cobb angle measurements in scoliosis. Skeletal Radiol. 23(7), 517–520 (1994)
Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234–241. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24574-4_28
Vrtovec, T., Pernuš, F., Likar, B.: A review of methods for quantitative evaluation of spinal curvature. Eur. Spine J. 18(5), 593–607 (2009)
Wang, L., Xu, Q., Leung, S., Chung, J., Chen, B., Li, S.: Accurate automated cobb angles estimation using multi-view extrapolation net. Med. Image Anal. 58, 101542 (2019)
Weinstein, S.L., Dolan, L.A., Cheng, J.C., Danielsson, A., Morcuende, J.A.: Adolescent idiopathic scoliosis. Lancet 371(9623), 1527–1537 (2008)
Wu, H., Bailey, C., Rasoulinejad, P., Li, S.: Automatic landmark estimation for adolescent idiopathic scoliosis assessment using BoostNet. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017. LNCS, vol. 10433, pp. 127–135. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66182-7_15
Wu, H., Bailey, C., Rasoulinejad, P., Li, S.: Automated comprehensive adolescent idiopathic scoliosis assessment using MVC-net. Med. Image Anal. 48, 1–11 (2018)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-39752-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-39751-7
Online ISBN: 978-3-030-39752-4
eBook Packages: Computer ScienceComputer Science (R0)
