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Computer Simulation of Arthrometric Diagnosis of Partial ACL-Injured Knee

Rahemi, Hadi | 2009

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 39057 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Farahmand, Farzam; Parnianpour, Mohammad
  7. Abstract:
  8. Knee pain and injuries are very common in athletes. Anterior cruciate ligament (ACL) injury is one of the most important reason of knee acute and chronic pains. As ACL plays a significant role in knee stability and due to amount of reported ACL related injuries, much effort has been placed on finding proper and on time diagnosis and treatment of these injuries. Arthrometric methods are the most non-invasive reliable diagnosis option; however they are not fully capable of separating partial injuries from intact joint. This weakness can be investigated by quantifying the tests using computer simulations; so far few studies have been conducted toward this goal. In this study a two dimensional Finite Element model of knee joint under standard arthrometry state (by a KT-2000 arthrometer) was built. This model was then used to evaluate the effect of precise modeling of tibiofemoral contact-surface geometry and also the effect of considering flexible articular cartilage in the joint. The results revealed that exact modeling of the contact geometry highly influences the simulation results; but the flexibility in contact areas does not have much effect on the outputs. In the next step, built model was used in a stochastic modeling with the experimental data obtained from literature in order to simulate a real diagnosis circumstance in order to provide a distinct comparison between different levels of ACL injuries. The result of this simulation shows that although there are statistical significance between approximately most of the injury levels in different appointed anterior drawer force levels, but the overlap of the results’ intervals still remains and this overlap is the area of which diagnosis may be done by mistake. Therefore moving towards introduction of new measuring methods (or newly defined identifiers) or using intelligent processing of current obtained data is suggested
  9. Keywords:
  10. Knee Joint ; Computer Simulation ; Arthrometry ; Statistical Analysis ; Partical Injuries

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