Application of numerical descriptors to the characterization of wear particles obtained from joint replacements.
The application of image analysis techniques to the characterization of wear particles from failed joint replacements has been described. Wear particles were extracted from periprosthetic tissues collected during revision surgery. Chemical digestive methods were used to separate the wear particles from the biological soft material. The particles isolated were examined by optical and scanning electron microscopy. Digitized particle images were analysed on a Macintosh computer by a specially developed software and by the image analysis program 'Prism'. The following numerical descriptors were used to characterize the particles: particle size, boundary fractal dimension and shape parameters such as form factor, roundness, convexity and aspect ratio. Elemental composition of the particles was determined by energy dispersive X-ray spectroscopy. Three selected types of wear particles were analysed and compared: titanium (Ti)-based and calcium (Ca)-based particles from a hip prosthesis and ultra-high molecular weight polyethylene (UHMWPE) particles from a knee prosthesis. The particles exhibited significantly different sizes and their shape numerical descriptors were also different. From the results obtained it appears that computer image analysis of wear particle morphology can be employed to determine the wear processes occurring in the joints. In some cases, the condition of the joint can also be assessed based on this analysis.
Stachowiak
G W
GW
Department of Mechanical and Materials Engineering, University of Western Australia, Perth.
Stachowiak
G B
GB
Campbell
P
P
D017709:Fractals; D006621:Hip Joint / Q000648:ultrastructure*; D006622:Hip Prosthesis; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007719:Knee Joint / Q000648:ultrastructure*; D007720:Knee Prosthesis; D008855:Microscopy, Electron, Scanning; D010316:Particle Size; D011475:Prosthesis Failure; D013499:Surface Properties