Encoding scratch and scrape features for wear modeling of total joint replacements. Comput Math Methods Med 2013;2013:624267
Date
05/11/2013Pubmed ID
23662160Pubmed Central ID
PMC3639636DOI
10.1155/2013/624267Scopus ID
2-s2.0-84877275310 (requires institutional sign-in at Scopus site) 6 CitationsAbstract
Damage to hard bearing surfaces of total joint replacement components typically includes both thin discrete scratches and broader areas of more diffuse scraping. Traditional surface metrology parameters such as average roughness (R a) or peak asperity height (R p) are not well suited to quantifying those counterface damage features in a manner allowing their incorporation into models predictive of polyethylene wear. A diffused lighting technique, which had been previously developed to visualize these microscopic damage features on a global implant level, also allows damaged regions to be automatically segmented. These global-level segmentations in turn provide a basis for performing high-resolution optical profilometry (OP) areal scans, to quantify the microscopic-level damage features. Algorithms are here reported by means of which those imaged damage features can be encoded for input into finite element (FE) wear simulations. A series of retrieved clinically failed implant femoral heads analyzed in this manner exhibited a wide range of numbers and severity of damage features. Illustrative results from corresponding polyethylene wear computations are also presented.
Author List
Kruger KM, Tikekar NM, Heiner AD, Baer TE, Lannutti JJ, Callaghan JJ, Brown TDAuthor
Karen Kruger PhD Research Assistant Professor in the MU-MCW Department of Biomedical Engineering department at Marquette UniversityMESH terms used to index this publication - Major topics in bold
AlgorithmsComputational Biology
Computer Simulation
Equipment Failure Analysis
Finite Element Analysis
Hip Prosthesis
Humans
Joint Prosthesis
Knee Prosthesis
Modems
Optical Phenomena
Photography
Polyethylene
Prosthesis Failure
Surface Properties