Abstract
The recommended exam for assessing chest trauma is a computed tomography (CT) chest scan. Using multi-planar reconstructions to evaluate a CT volume to assess the ribcage is a tedious and time-consuming task. We have designed an application that provides an automatically rendered unfolded unobstructed view of the entire ribcage using an unfolded cylindrical projection. This paper describes the underlying algorithm which has two main steps: ribcage segmentation and ribcage unfolding. The unfolding technique we developed preserves the relative size and location of the ribs and surrounding tissue, providing a natural anatomical reference for the reader. It also demonstrated usefulness to identify other musculoskeletal conditions such us scoliosis, calcified cartilage, bone tumours. To evaluate the usefulness of the application, we evaluated it on 70 representative CT chest scans. The evaluation was performed by a clinical expert who graded the specialized unfolded cylindrical projection view on a 5 point Likert scale according to the level of diagnostic confidence. Results showed that 84% of the studies were clinically useful (above grade 3). The algorithm is fully automatic and it runs in an average time of 24 s. The evaluation described in this paper gives positive initial feedback on the usefulness of the application. A recent multi-reader clinical study showed that using the specialized unfolded cylindrical projection view obtains similar diagnostic accuracy to conventional multi-planar reconstructions while reducing the reading time.
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
References
Hospital ambulatory medical care survey: 2013 emergency department summary tables (2013)
EuroSafe: Injuries in the European Union: summary of injury statistics for the years 2008–2010 (2013)
Calhoon, J., Trinkle, J.: Pathophysiology of chest trauma. Chest Surg. Clin. N. Am. 7(2), 199–211 (1997)
Gondim Teixeira, P.A., Blum, A.: Clinical Application of Musculoskeletal CT: Trauma, Oncology, and Postsurgery. MR, pp. 1–27. Springer, Heidelberg (2017). https://doi.org/10.1007/174_2017_25
Ringl, H., Lazar, M., Töpker, M., Woitek, R., Prosch, H., Asenbaum, U., Balassy, C., Toth, D., Weber, M., Hajdu, S., Soza, G., Wimmer, A., Mang, T.: The ribs unfolded - a CT visualization algorithm for fast detection of rib fractures: effect on sensitivity and specificity in trauma patients. Eur. Radiol. 25(7), 1865–1874 (2015)
Dabbah, M., Murphy, S., Pello, H., Courbon, R., Beveridge, E., Wiseman, S., Wyeth, D., Poole, I.: Detection and location of 127 anatomical landmarks in diverse CT datasets. In: Ourselin, S., Styner, M. (eds.) Proceedings of SPIE Medical Imaging 2014: Image Processing, vol. 9034, p. 903415. SPIE (2014)
O’Neil, A.: Image analysis of noisy 3D/4D medical datasets. Ph.D. thesis, Heriot-Watt University, UK (2015)
Criminisi, A., Shotton, J. (eds.): Decision Forests for Computer Vision and Medical Image Analysis. Advances in Computer Vision and Pattern Recognition. Springer, London (2013)
Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition - CVPR 2005, vol. 1, pp. 886–893. IEEE (2005)
Crum, W., Griffin, L., Hill, D., Hawkes, D.: Zen and the art of medical image registration: correspondence, homology, and quality. NeuroImage 20(3), 1425–1437 (2003)
Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A., Delp, S. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998). https://doi.org/10.1007/BFb0056195
Urbaneja, A., De Verbizier, J., Formery, A., Tobon-Gomez, C., Nace, L., Blum, A., Gondim Teixeira, P.: Automatic rib cage unfolding with CT cylindrical projection reformat in polytraumatized patients for rib fracture detection and characterization: diagnostic performance and clinical application (Under review)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Tobon-Gomez, C. et al. (2018). Unfolded Cylindrical Projection for Rib Fracture Diagnosis. In: Glocker, B., Yao, J., Vrtovec, T., Frangi, A., Zheng, G. (eds) Computational Methods and Clinical Applications in Musculoskeletal Imaging. MSKI 2017. Lecture Notes in Computer Science(), vol 10734. Springer, Cham. https://doi.org/10.1007/978-3-319-74113-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-74113-0_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74112-3
Online ISBN: 978-3-319-74113-0
eBook Packages: Computer ScienceComputer Science (R0)