Zusammenfassung
Creating patient-specific simulation models helps to make customised implant or treatment plans. To create such models, exact locations of the Origin and Insertion Points of the Ligaments (OIPL) are needed. Locating these OIPL is usually done manually and it is a time-consuming procedure.
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Al-Dhamari I, Bauer S, Paulus D. In: A M, Th D, H H, et al., editors. Automatic multi-modal cervical spine image atlas segmentation. 101007. Springer Berlin Heidelberg, Berlin Heidelberg; 2018. p. 303–308.
AL-Dhamari I, Bauer S, Keller E, et al. Automatic detection of cervical spine ligaments origin and insertion points. In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019); 2019. p. 48–51.
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© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Al-Dhamari, I., Bauer, S., Keller, E., Paulus, D. (2020). Abstract: Automatic Detection of Cervical Spine Ligaments Origin and Insertion Points. In: Tolxdorff, T., Deserno, T., Handels, H., Maier, A., Maier-Hein, K., Palm, C. (eds) Bildverarbeitung für die Medizin 2020. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-29267-6_10
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DOI: https://doi.org/10.1007/978-3-658-29267-6_10
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