Developing simulations to reproduce in vivo fluoroscopy kinematics in total knee replacement patients.
Saved in:
| Title: | Developing simulations to reproduce in vivo fluoroscopy kinematics in total knee replacement patients. |
|---|---|
| Authors: | Fitzpatrick, Clare K.1 clare.fitzpatrick@du.edu, Komistek, Richard D.2, Rullkoetter, Paul J.1 |
| Source: | Journal of Biomechanics. 2014, Vol. 47 Issue 10, p2398-2405. 8p. |
| Subjects: | Simulation methods & models, Fluoroscopy, Kinematics, Total knee replacement, Root-mean-squares, Finite element method, Biomechanics |
| Abstract: | For clinically predictive testing and design-phase evaluation of prospective total knee replacement (TKR) implants, devices should ideally be evaluated under physiological loading conditions which incorporate population-level variability. A challenge exists for experimental and computational researchers in determining appropriate loading conditions for wear and kinematic knee simulators which reflect in vivo joint loading conditions. There is a great deal of kinematic data available from fluoroscopy studies. The purpose of this work was to develop computational methods to derive anterior-posterior (A-P) and internal-external (I-E) tibiofemoral (TF) joint loading conditions from in vivo kinematic data. Two computational models were developed, a simple TF model, and a more complex lower limb model. These models were driven through external loads applied to the tibia and femur in the TF model, and applied to the hip, ankle and muscles in the lower limb model. A custom feedback controller was integrated with the finite element environment and used to determine the external loads required to reproduce target kinematics at the TF joint. The computational platform was evaluated using in vivo kinematic data from four fluoroscopy patients, and reproduced in vivo A-P and I-E motions and compressive force with a root-mean-square (RMS) accuracy of less than 1 mm, 0.1°, and 40 N in the TF model and in vivo A-P and I-E motions, TF flexion, and compressive loads with a RMS accuracy of less than 1 mm, 0.1°, 1.4°, and 48 N in the lower limb model. The external loading conditions derived from these models can ultimately be used to establish population variability in loading conditions, for eventual use in computational as well as experimental activity simulations. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Biomechanics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 96394189 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Developing simulations to reproduce in vivo fluoroscopy kinematics in total knee replacement patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fitzpatrick%2C+Clare+K%2E%22">Fitzpatrick, Clare K.</searchLink><relatesTo>1</relatesTo><i> clare.fitzpatrick@du.edu</i><br /><searchLink fieldCode="AR" term="%22Komistek%2C+Richard+D%2E%22">Komistek, Richard D.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Rullkoetter%2C+Paul+J%2E%22">Rullkoetter, Paul J.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Biomechanics%22">Journal of Biomechanics</searchLink>. 2014, Vol. 47 Issue 10, p2398-2405. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Fluoroscopy%22">Fluoroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Kinematics%22">Kinematics</searchLink><br /><searchLink fieldCode="DE" term="%22Total+knee+replacement%22">Total knee replacement</searchLink><br /><searchLink fieldCode="DE" term="%22Root-mean-squares%22">Root-mean-squares</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Biomechanics%22">Biomechanics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: For clinically predictive testing and design-phase evaluation of prospective total knee replacement (TKR) implants, devices should ideally be evaluated under physiological loading conditions which incorporate population-level variability. A challenge exists for experimental and computational researchers in determining appropriate loading conditions for wear and kinematic knee simulators which reflect in vivo joint loading conditions. There is a great deal of kinematic data available from fluoroscopy studies. The purpose of this work was to develop computational methods to derive anterior-posterior (A-P) and internal-external (I-E) tibiofemoral (TF) joint loading conditions from in vivo kinematic data. Two computational models were developed, a simple TF model, and a more complex lower limb model. These models were driven through external loads applied to the tibia and femur in the TF model, and applied to the hip, ankle and muscles in the lower limb model. A custom feedback controller was integrated with the finite element environment and used to determine the external loads required to reproduce target kinematics at the TF joint. The computational platform was evaluated using in vivo kinematic data from four fluoroscopy patients, and reproduced in vivo A-P and I-E motions and compressive force with a root-mean-square (RMS) accuracy of less than 1 mm, 0.1°, and 40 N in the TF model and in vivo A-P and I-E motions, TF flexion, and compressive loads with a RMS accuracy of less than 1 mm, 0.1°, 1.4°, and 48 N in the lower limb model. The external loading conditions derived from these models can ultimately be used to establish population variability in loading conditions, for eventual use in computational as well as experimental activity simulations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Biomechanics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=96394189 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jbiomech.2014.04.024 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 2398 Subjects: – SubjectFull: Simulation methods & models Type: general – SubjectFull: Fluoroscopy Type: general – SubjectFull: Kinematics Type: general – SubjectFull: Total knee replacement Type: general – SubjectFull: Root-mean-squares Type: general – SubjectFull: Finite element method Type: general – SubjectFull: Biomechanics Type: general Titles: – TitleFull: Developing simulations to reproduce in vivo fluoroscopy kinematics in total knee replacement patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fitzpatrick, Clare K. – PersonEntity: Name: NameFull: Komistek, Richard D. – PersonEntity: Name: NameFull: Rullkoetter, Paul J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 00219290 Numbering: – Type: volume Value: 47 – Type: issue Value: 10 Titles: – TitleFull: Journal of Biomechanics Type: main |
| ResultId | 1 |
