Towards a subject-specific knee model to optimize ACL reconstruction

Rachmat, H., 2015, [S.l.]: [s.n.]. 110 p.

Research output: ThesisThesis fully internal (DIV)Academic

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  • Title and contents

    Final publisher's version, 150 KB, PDF document

  • Chapter 1

    Final publisher's version, 223 KB, PDF document

  • Chapter 2

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  • Chapter 3

    Final publisher's version, 540 KB, PDF document

  • Chapter 4

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  • Chapter 5

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  • Chapter 6

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  • Chapter 7

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  • Complete dissertation

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  • Propositions

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  • Hendi Rachmat
The hypothesis of this thesis is that the results of anterior cruciate ligament (ACL) reconstructions can be optimized by personalizing the surgical intervention. Using finite element (FE) modeling it is possible to analyze the optimal surgical parameters, thereby assisting the orthopaedic surgeon on individualizing the ACL reconstruction. This may help determining the optimal location of the graft insertion sites in the femur and tibia, as well as finding the optimal length and pre-stress of the graft.
The development of an appropriate subject-specific 3D knee joint model from CT and MRI images was the first concern to create FE models. We evaluated the workflow to model the knee joint in order to investigate the balance between the invested time and the resulting quality of the geometrical representation. The accuracy of identifying the knee ligament attachment sites in the model, which is essential to achieve an accurate biomechanical knee joint model, was also studied by involving various observers to identify the insertion and origo sites of knee ligaments on MRI scan images.
Subsequently, the mechanical properties of the knee joint capsule were studied in this research to achieve a reliable FE knee joint model. This structure, which provides stability to the joint by limiting joint movement, specifically in full extension, has not been studied extensively in previous studies. Finally, the mechanical behavior and slack length of the ACL were assessed at multiple flexion angles. This information can be further used to tune the ACL tension and validate FE models of the knee.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Verdonschot, N., Supervisor, External person
  • Verkerke, Bart, Supervisor
  • Diercks, Ron, Supervisor
  • Janssen, D., Co-supervisor, External person
  • Bulstra, Sjoerd, Assessment committee
  • Molenaar, Willemina, Assessment committee
  • Koopman, H.F.J.M., Assessment committee, External person
Award date25-Mar-2015
Place of Publication[S.l.]
Print ISBNs978-90-367-7652-3
Electronic ISBNs978-90-367-7651-6
Publication statusPublished - 2015

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