Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery

Kordon FJ, Maier A, Swartman B, Privalov M, El Barbari JS, Kunze H (2021)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2021

Publisher: Springer

City/Town: Cham

Pages Range: 560-570

Conference Proceedings Title: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

Event location: Straßburg PE

URI: https://link.springer.com/chapter/10.1007/978-3-030-87202-1_54

DOI: 10.1007/978-3-030-87202-1_54

Abstract

Reconstruction surgery of torn ligaments typically requires precise and anatomically correct fixation of the graft substitute on the bone surface. Several planning methodologies have been proposed that aim at standardizing the interventional procedure by localizing drill sites or defining the drill tunnel orientation with the help of anatomical landmarks. However, the practical implementation is limited by the often complex and time-consuming nature of the planning steps. For this reason, we propose an automatic solution for safe guide pin path planning based on bone contour extraction, axis detection, anatomical landmark detection, and geometrical construction. We evaluate our approach for the task of double-bundle posterior cruciate ligament reconstruction surgery on the lateral tibia using 38 clinical X-ray images. Our method achieves a median path angulation error of 0.37∘0.37° and a median localization error of 0.96 mm for the ligament attachment center.

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How to cite

APA:

Kordon, F.J., Maier, A., Swartman, B., Privalov, M., El Barbari, J.S., & Kunze, H. (2021). Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery. In de Bruijne M, et al. (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 (pp. 560-570). Straßburg, PE: Cham: Springer.

MLA:

Kordon, Florian Johannes, et al. "Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery." Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Straßburg Ed. de Bruijne M, et al., Cham: Springer, 2021. 560-570.

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