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Patient-Specific Computational Modeling Framework for Intraoperative Planning of Knee Replacement
Başlık:
Patient-Specific Computational Modeling Framework for Intraoperative Planning of Knee Replacement
Yazar:
Dunbar, Nicholas J., author.
ISBN:
9780438120464
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (158 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Özet:
Computational modeling is widely used to design medical devices and perform biomechanical research. However, it is rarely available to surgeons and clinicians during intraoperative planning and treatment. This thesis presents a computational modeling framework which can be incorporated into current orthopedic surgical navigation platforms to provide patient-specific simulations of knee arthroplasty. Four preliminary investigations were conducted before designing the framework. First, the accuracy of robotic-assisted knee arthroplasty was quantified for positioning knee replacement components. Second, the influence of knee implant component rotation on contact loads during simulated squatting was numerically investigated. Third, the influence of knee joint constraints on kinematics during simulated squatting was measured for the in-vitro knee during sequential soft-tissue resection. Finally, the in-vivo kinematics of a cohort receiving a bi-compartmental knee replacement were studied to better understand the impacts of patient-specific variations on surgical decisions and outcomes.
The completed computational framework consists of a software tool enabling the graphical construction of generic knee ligaments, hardware designs and procedural routines for collecting passive knee envelope measurements, a software tool for automated finite-element model preprocessing, a software tool to determine the kinematic sensitivity of any selected knee model, and a software tool for efficiently calibrating a patient-customizable knee model. Several knee cadaveric specimens were acquired to experimentally determine the feasibility of the suggested surgical planning framework. The system was successfully demonstrated for the simple linear knee model case and was found to be eight times more data efficient than a standard calibration approach. Finally, an advanced collateral ligament model was explored in order to improve the accuracy of the knee model fit. As a result of this work, patient-specific computational models may become more commonplace in pre-surgical planning and may further enable optimal placement of implant components.
Notlar:
School code: 0070
Tüzel Kişi Ek Girişi:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(696588.1) | 696588-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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