Segmentation of musculotendinous structures of the hip from 3d imaging for patient-specific individualization of biomechanical simulations

Fleischmann C, Scherb D, Leher I, Wolf A, Miehling J, Wartzack S, Sesselmann S (2021)


Publication Type: Conference contribution

Publication year: 2021

Publisher: Springer

Book Volume: 1253 AISC

Pages Range: 331-337

Conference Proceedings Title: Advances in Intelligent Systems and Computing

Event location: Paris FR

ISBN: 9783030553067

DOI: 10.1007/978-3-030-55307-4_50

Abstract

Due to a steady increase of total hip arthroplasty, biomechanical multibody simulations are moving more and more into focus. These simulations allow to calculate forces, moments and muscle activities in the human body and, thus, can help to improve surgery planning and outcomes. However, generic human body models based on anthropometric data are mostly used for these simulations. Since these models are not customized to patients, there is a need to adapt the models to the individual patient. Therefore, 3D models of bones are created by segmentation of CT and MRI scans and assigned different landmarks. This allows to define both, the shape and size of bones, in this case the femur, which leads to patient-specific adjustments of muscle attachment points. Also muscles can be segmented to determine important parameters such as muscle volume, allowing the definition of important simulation parameters, like the maximum isometric force or the tendon slack length of individual patients leading to customized models.

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How to cite

APA:

Fleischmann, C., Scherb, D., Leher, I., Wolf, A., Miehling, J., Wartzack, S., & Sesselmann, S. (2021). Segmentation of musculotendinous structures of the hip from 3d imaging for patient-specific individualization of biomechanical simulations. In Tareq Ahram, Redha Taiar, Karine Langlois, Arnaud Choplin (Eds.), Advances in Intelligent Systems and Computing (pp. 331-337). Paris, FR: Springer.

MLA:

Fleischmann, Christopher, et al. "Segmentation of musculotendinous structures of the hip from 3d imaging for patient-specific individualization of biomechanical simulations." Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET 2020, Paris Ed. Tareq Ahram, Redha Taiar, Karine Langlois, Arnaud Choplin, Springer, 2021. 331-337.

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