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Development of subject-specific musculoskeletal models for studies of lumbar loading

  • Anatomical differences between individuals are often neglected in musculoskeletal models, but they are necessary in case of subject-specific questions regarding the lumbar spine. A modification of models to each subject is complex and the effects on lumbar loading are difficult to assess. The objective of this thesis is to create a validated musculoskeletal model of the human body, which facilitates a subject-specific modification of the geometry of the lumbar spine. Furthermore, important parameters are identified in sensitivity studies and a case study regarding multifidus muscle atrophy after a disc herniation is conducted. Therefore, a generic model is heavily modified and a semi-automatic process is implemented. This procedure remodels the geometry of the lumbar spine to a subject-specific one on basis of segmented medical images. The resulting five models are validated with regard to the lumbar loading at the L4/L5 level. The influence of lumbar ligament stiffness is determined by changing the stiffness values of all lumbar ligaments in eleven steps during a flexion motion. Sensitivities of lumbar loading to an altered geometry of the lumbar spine are identified by varying ten lumbar parameters in simulations with each model in four postures. The case study includes an analysis of the loading of the multifidus muscle and of the lumbar discs throughout various stages of disc herniation. This time each model performs four motions with two different motion rhythms. The results indicate that lumbar motion and loading is dependent on lumbar ligament stiffness. Furthermore, subject-specific modelling of the lumbar spine should include at least the vertebral height, disc height and lumbar lordosis. The results of the case study suggest that an overloading of the multifidus muscle could follow disc herniation. Additionally, a subsequent atrophy of the muscles could expose adjacent levels to an increased loading, but these findings are highly dependent on the individual.

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Metadaten
Author:Michael Putzer
URN:urn:nbn:de:bvb:706-5924
Advisor:Ingo Ehrlich
Document Type:Doctoral Thesis
Language:English
Year of first Publication:2018
Contributing Corporation:Universität der Bundeswehr München
Release Date:2021/05/07
GND Keyword:Lendenwirbelsäule; Geometrie; Lendenwirbelsäulenkrankheit; Computertomografie; Modell; Hochschulschrift
Pagenumber:140
Note:
Kooperative Promotion an der Fakultät Maschinenbau der Ostbayerischen Technischen Hochschule Regensburg (OTH.R) im Labor für Biomechanik (LBM) bei Prof. Dr.-Ing. Sebastian Dendorfer und Labor für Faserverbundtechnik (LFT) bei Prof. Dr.-Ing. Ingo Ehrlich
Institutes:Fakultät Informatik und Mathematik
Fakultät Maschinenbau
Technologie-Campus Neustadt an der Donau
Fakultät Maschinenbau / Labor Faserverbundtechnik (LFT)
Fakultät Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC)
research focus:Lebenswissenschaften und Ethik