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Computational model-based probabilistic analysis of in vivo material properties for ligament stiffness using the laxity test and computed tomography

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dc.contributor.author김성환-
dc.contributor.author이영한-
dc.date.accessioned2017-10-26T07:48:45Z-
dc.date.available2017-10-26T07:48:45Z-
dc.date.issued2016-
dc.identifier.issn0957-4530-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/152538-
dc.description.abstractThe objective of this paper was to evaluate in vivo material properties in order to address technical aspects of computational modeling of ligaments in the tibiofemoral joint using a probabilistic method. The laxity test was applied to the anterior-posterior drawer under 30° and 90° of flexion with a series of stress radiographs, a Telos device, and computed tomography. Ligament stiffness was investigated using sensitivity analysis based on the Monte-Carlo method with a subject-specific finite element model generated from in vivo computed tomography and magnetic resonance imaging data, subjected to laxity test conditions. The material properties of ligament stiffness and initial ligament strain in a subject-specific finite element model were optimized to minimize the differences between the movements of the tibia and femur in the finite element model and the computed tomography images in the laxity test. The posterior cruciate ligament was the most significant factor in flexion and posterior drawer, while the anterior cruciate ligament primarily was the most significant factor for the anterior drawer. The optimized material properties model predictions in simulation and the laxity test were more accurate than predictions based on the initial material properties in subject-specific computed tomography measurement. Thus, this study establishes a standard for future designs in allograft, xenograft, and artificial ligaments for anterior cruciate ligament and posterior cruciate ligament injuries.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer-
dc.relation.isPartOfJOURNAL OF MATERIALS SCIENCE-MATERIALS IN MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAnterior Cruciate Ligament/diagnostic imaging-
dc.subject.MESHBiomechanical Phenomena-
dc.subject.MESHComputer Simulation*-
dc.subject.MESHFemur/diagnostic imaging-
dc.subject.MESHFinite Element Analysis-
dc.subject.MESHHumans-
dc.subject.MESHImage Processing, Computer-Assisted-
dc.subject.MESHKnee Joint/diagnostic imaging*-
dc.subject.MESHMale-
dc.subject.MESHMaterials Testing*-
dc.subject.MESHMonte Carlo Method-
dc.subject.MESHPosterior Cruciate Ligament/diagnostic imaging-
dc.subject.MESHProbability-
dc.subject.MESHRange of Motion, Articular-
dc.subject.MESHTibia/diagnostic imaging-
dc.subject.MESHTomography, X-Ray Computed-
dc.titleComputational model-based probabilistic analysis of in vivo material properties for ligament stiffness using the laxity test and computed tomography-
dc.typeArticle-
dc.publisher.locationUnited States-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Orthopedic Surgery-
dc.contributor.googleauthorKyoung-Tak Kang-
dc.contributor.googleauthorSung-Hwan Kim-
dc.contributor.googleauthorJuhyun Son-
dc.contributor.googleauthorYoung Han Lee-
dc.contributor.googleauthorHeoung-Jae Chun-
dc.identifier.doi10.1007/s10856-016-5797-z-
dc.contributor.localIdA02967-
dc.contributor.localIdA00592-
dc.relation.journalcodeJ01576-
dc.identifier.eissn1573-4838-
dc.identifier.pmid27787809-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs10856-016-5797-z-
dc.subject.keywordAnterior Cruciate Ligament-
dc.subject.keywordFinite Element Model-
dc.subject.keywordPosterior Cruciate Ligament-
dc.subject.keywordIntraclass Correlation Coefficient-
dc.subject.keywordKnee Laxity-
dc.contributor.alternativeNameKim, Sung Hwan-
dc.contributor.alternativeNameLee, Young Han-
dc.contributor.affiliatedAuthorLee, Young Han-
dc.contributor.affiliatedAuthorKim, Sung Hwan-
dc.citation.volume27-
dc.citation.number12-
dc.citation.startPage183-
dc.identifier.bibliographicCitationJOURNAL OF MATERIALS SCIENCE-MATERIALS IN MEDICINE, Vol.27(12) : 183, 2016-
dc.date.modified2017-10-24-
dc.identifier.rimsid48741-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Orthopedic Surgery (정형외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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