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Next Generation In-Vivo Forward Solution Physiological Model Of The Human Lower Limb To Predict Implanted Knee Mechanics, Bradley Allen Meccia
Next Generation In-Vivo Forward Solution Physiological Model Of The Human Lower Limb To Predict Implanted Knee Mechanics, Bradley Allen Meccia
Doctoral Dissertations
Current total knee arthroplasty (TKA) evaluation methods are both time consuming and expensive. They require fabrication of the TKA and then utilize a wear or cadaveric simulator which does not necessarily replicate in-vivo conditions. Other analysis methods involve following the long-term success of TKA in subjects for five or more years. Mathematical modeling of TKA provide an efficient method at a greatly reduced cost for evaluating TKA. Obviously, the accuracy of a mathematical model is extremely important to the validity of the results.
Mathematical modeling of the knee faces many difficulties. The number of muscles actuating the knee is much …
A Novel Imaging System For Automatic Real-Time 3d Patient-Specific Knee Model Reconstruction Using Ultrasound Rf Data, Rimon Adel Messiha Tadross
A Novel Imaging System For Automatic Real-Time 3d Patient-Specific Knee Model Reconstruction Using Ultrasound Rf Data, Rimon Adel Messiha Tadross
Doctoral Dissertations
This dissertation introduces a novel imaging method and system for automatic real-time 3D patient-specific knee model reconstruction using ultrasound RF data. The developed method uses ultrasound to transcutaneously digitize a point cloud representing the bone’s surface. This point cloud is then used to reconstruct 3D bone model using deformable models method.
In this work, three systems were developed for 3D knee bone model reconstruction using ultrasound RF data. The first system uses tracked single-element ultrasound transducer, and was experimented on 12 knee phantoms. An average reconstruction accuracy of 0.98 mm was obtained. The second system was developed using an ultrasound …