Imaging of Surface Wear in Joint Replacement Devices using a Three-dimensional Structured-light Scanner
Advancements in wear analysis methods require accurate technology to measure surface wear in joint prosthesis. These methods offer insight into the success of implant material and design, and has potential to influence implant longevity. However, established wear analysis methods are time-intensive and costly. Therefore, the goal of this study was to develop a 3D structured-light scanning wear procedure to accurately detect surface deviations and generate 3D color maps of surface wear for polyethylene liners used in joint prosthesis. This procedure followed a three step process, where a novel approach was developed to align specimens and measure surface deviations. It was determined that the 3D structured-light scanner could detect deviations of 20 μm or greater with reasonable error. This procedure was then applied to hip resurfacing polyethylene liners that experienced wear testing. For all liners, the average, central, and peak wear was 19 ± 7 μm, 28 ± 10 μm, and 57 ± 15 μm, respectively. This is the first study to use 3D structured-light scanning to detect and visualize surface wear on joint prosthesis. Results from this study suggest that 3D structured-light scanning may be an appropriate alternative to established wear analysis methods with respect to accuracy, time, and cost.
Hollar, Katherine, "Imaging of Surface Wear in Joint Replacement Devices using a Three-dimensional Structured-light Scanner" (2017). 2017 Undergraduate Research and Scholarship Conference.