Aaron Henry, G. Goodchild, Jonathan B Greenwald, M. Meftah, Michael Moreno, Andrew B. Robbins
{"title":"EXPERIMENTAL VALIDATION OF A COMPUTATIONAL KNEE MODEL OF TKR IMPLANT PLACEMENT","authors":"Aaron Henry, G. Goodchild, Jonathan B Greenwald, M. Meftah, Michael Moreno, Andrew B. Robbins","doi":"10.1115/dmd2023-5598","DOIUrl":null,"url":null,"abstract":"\n The goal of this work was to experimentally validate a computational model for TKRs to improve implant alignment accuracy and assess potential implant misalignment during preoperative planning. Initial validation of the model was achieved by comparing ligament strain energies between the computational model and a physical knee model comprised of bone and ligament analogues. Experimental validation would be considered met when the computational model strain energies were within 10% of the measured values for all six physical knees. Physical and computational knee models were created with six variations of implant alignment to test the robustness of the computational model. Strain energy errors were well within the 10% threshold across knee range of motion.","PeriodicalId":325836,"journal":{"name":"2023 Design of Medical Devices Conference","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Design of Medical Devices Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/dmd2023-5598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The goal of this work was to experimentally validate a computational model for TKRs to improve implant alignment accuracy and assess potential implant misalignment during preoperative planning. Initial validation of the model was achieved by comparing ligament strain energies between the computational model and a physical knee model comprised of bone and ligament analogues. Experimental validation would be considered met when the computational model strain energies were within 10% of the measured values for all six physical knees. Physical and computational knee models were created with six variations of implant alignment to test the robustness of the computational model. Strain energy errors were well within the 10% threshold across knee range of motion.