Encoding scratch and scrape features for wear modeling of total joint replacements.
Encoding scratch and scrape features for wear modeling of total joint replacements.
复制标题
DOI：
10.1155/2013/624267
复制
发表时间：
2013
影响因子：
--
通讯作者：
Brown TD
中科院分区：
文献类型：
--
作者：
Kruger KM;Tikekar NM;Heiner AD;Baer TE;Lannutti JJ;Callaghan JJ;Brown TD
全关节更换部件硬轴承表面的损坏通常包括细小的离散划痕和更广泛的弥漫刮擦。传统的表面计量参数，如平均粗糙度(Ra)或最大粗糙度高度(Rp)，不能很好地量化这些对接表面的损伤特征，从而使它们能够并入预测聚乙烯磨损的模型中。之前开发的一种漫反射照明技术，可以在全球植入物水平上可视化这些微观损伤特征，也可以自动分割受损区域。这些全球水平的分割反过来为执行高分辨率光学轮廓术(OP)面状扫描提供了基础，以量化微观水平的损伤特征。这里报告了一些算法，通过这些算法，可以对这些成像的损伤特征进行编码，以便输入到有限元(FE)磨损模拟中。以这种方式分析的一系列临床失败的植入股骨头显示了广泛的数量和严重程度的损伤特征。文中还给出了相应的聚乙烯磨损计算结果。
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.
登录
查看更多内容
DOI：
10.1097/01.blo.0000150450.42829.b8
发表时间：
2005-01-01
影响因子：
4.2
作者：
Lundberg, HJ;Stewart, KJ;Brown, TA
通讯作者：
Brown, TA
DOI：
10.1243/0954411011533733
发表时间：
2001-01-01
影响因子：
1.8
作者：
Jones, VC;Williams, IR;Fisher, J
通讯作者：
Fisher, J
DOI：
10.1002/jbm.b.30748
发表时间：
2007-08-01
影响因子：
3.4
作者：
Kohm, Andrew;Gaumer, Jeremy;Lannutti, John
通讯作者：
Lannutti, John
影响因子：
5
作者：
DOWSON, D;TAHERI, S;WALLBRIDGE, NC
通讯作者：
WALLBRIDGE, NC
DOI：
10.2106/00004623-197456010-00011
发表时间：
1974-01-01
影响因子：
5.3
作者：
WALKER, PS;SALVATI, E;HOTZLER, RK
通讯作者：
HOTZLER, RK