Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee

Luckner C, Herbst M, Fuhrmann M, Ritschl L, Kappler S, Maier A (2020)


Publication Type: Conference contribution

Publication year: 2020

Journal

Publisher: Springer

Pages Range: 335-340

Conference Proceedings Title: Informatik aktuell

Event location: Berlin DE

ISBN: 9783658292669

DOI: 10.1007/978-3-658-29267-6_74

Abstract

Osteoarthritis is a joint disease that commonly affects the hands, feet, spine, as well as the large weight-bearing joints, i. e., the hip, and knees. Worldwide, about 3.6% of the population suffer from osteoarthritis of the knee. If the symptoms are too severe to be treated with medication, the solution is often a total replacement. The precise preoperative planning of implants is a crucial task to achieve a good patient outcome. For planning, usually hybrid 2-D/3-D approaches are used. The main drawback of theses hybrid methods is the different patient positions during the acquisition, namely lying for the 3-D scan and standing for the 2-D scan. We proposed a method that allows acquiring both images in standing positions under natural weight-bearing without having to reposition the patient. To show the feasibility, we provide images from an anthropomorphic leg phantom. A preliminary study with medical experts has shown that the results are promising.

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How to cite

APA:

Luckner, C., Herbst, M., Fuhrmann, M., Ritschl, L., Kappler, S., & Maier, A. (2020). Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 335-340). Berlin, DE: Springer.

MLA:

Luckner, Christoph, et al. "Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee." Proceedings of the International workshop on Algorithmen - Systeme - Anwendungen, 2020, Berlin Ed. Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm, Springer, 2020. 335-340.

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