Date of Award
11-2023
Document Type
Dissertation
Degree Name
Ph.D.
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science, Mechanical and Materials Engineering
First Advisor
Chadd Clary
Second Advisor
Daniel Linseman
Third Advisor
Paul Rullkoetter
Fourth Advisor
Peter Laz
Keywords
Biomechanics, Patient specific, Soft tissue, Surgical planning, Total hip replacement, Total knee replacement
Abstract
This dissertation focused on modeling specimen-specific soft tissue structures in the context of joint replacement surgery. The research addressed four key aspects. The first study involved developing a workflow for creating finite element models of the hip capsule to replicate its torque-rotational response. Experimental data from ten cadaveric hips were used to calibrate the models, resulting in improved accuracy and relevance for surgical planning and implant design. The second study tackled the challenge of expediting the calibration of mechanical properties of the hip capsule to match patient-specific laxities. A statistical shape function model was proposed to generate patient-specific finite element models, demonstrating potential for instant modeling and potential use in improving outcomes in hip arthroplasty. The third study involved developing a computational model of an experimental knee simulator for simultaneous evaluation of tibiofemoral and patellofemoral mechanics. The model's predictions were verified against experimental measurements, providing a reliable computational tool for further studies. The fourth study investigated the influence of soft tissue balance and implant congruency on knee stability during daily activities. Finite element models were calibrated based on experimental data, perturbed for varying soft-tissue imbalance levels, evaluated for stability during the activities of daily living, thereby highlighting the impact of implant design on stability. The dissertation's findings contribute to the knowledge of surgical planning, implant design, and potentially enhancing outcomes in joint replacement surgeries.
Copyright Date
11-2023
Copyright Statement / License for Reuse
All Rights Reserved.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Ahilan Anantha Krishnan
Provenance
Received from ProQuest
File Format
application/pdf
Language
English (eng)
Extent
154 pgs
File Size
4.8 MB
Recommended Citation
Anantha Krishnan, Ahilan, "Computational Methodology for Generating Patient-Specific Soft Tissue Representations" (2023). Electronic Theses and Dissertations. 2341.
https://digitalcommons.du.edu/etd/2341
Discipline
Mechanical engineering