Jordan Lee

David FitzPatrick2
Clare Fitzpatrick2
Jiang Yao2
Daniel Auger2
2David FitzPatrick
2Clare Fitzpatrick
2Jiang Yao
2Daniel Auger
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We present the PowerSetViewer visualization system for the lattice-based mining of power sets. Searching for itemsets within the power set of a universe occurs in many large dataset knowledge discovery contexts. Using a spatial layout based on a power set provides a unified visual framework at three different levels: data mining on the filtered dataset,(More)
The purpose of this study was to clarify meniscal displacement and cartilage-meniscus contact behavior in a full extension position and a deep knee flexion position. We also studied whether the meniscal translation pattern correlated with the tibiofemoral cartilage contact kinematics. Magnetic resonance (MR) images were acquired at both positions for 10(More)
Use of computational models with kinematic boundary conditions to study the knee joint contact behavior for normal and pathologic knee joints depends on an understanding of the impacts of kinematic uncertainty. We studied the sensitivities of tibio-menisco-femoral joint contact behavior to variations in knee kinematics using a finite element model (FEM)(More)
An accurate and repeatable tibial measurement system will aid in the definition of tibial geometry and improving tibial prosthesis design. Unlike in the femur, there is no standardized method for constructing a tibial coordinate frame. Most tibial measurements are given relative to femoral axes or the coordinate frame of the CT/MRI scanner or radiograph(More)
This study defines, in the context of unicompartmental tibial replacement, the medial and lateral resection surfaces of 34 tibiae at a depth of 5 mm below the articular surface. Using statistical techniques, three optimal theoretical size and shape unicompartmental tibial designs, (i) implants of consistent shape in varying size (ii) implants symmetric(More)
In the Information Age, data-mining has become a valuable tool. As long as there are needs and benefits from detecting and analyzing trends, there will be a need for data-mining. Traditionally, an expert in the field is required to search for " gems " of information from hunches and intuition. This task is generally tedious and ineffective as existing(More)
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