Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint: Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint: R. Deng et al.
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| Title: | Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint: Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint: R. Deng et al. |
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| Authors: | Deng, Ruoqi1 (AUTHOR), Bruce, Olivia L.2 (AUTHOR), Gibbons, Kalin D.3 (AUTHOR), Fitzpatrick, Clare K.3 (AUTHOR), Li, LePing1 (AUTHOR) Leping.Li@ucalgary.ca |
| Source: | Annals of Biomedical Engineering. Mar2025, Vol. 53 Issue 3, p549-561. 13p. |
| Subjects: | Knee joint, Joints (Anatomy), Contact mechanics, Fluid pressure, Articular cartilage, Knee |
| Abstract: | Subject-specific knee joint models are widely used to predict joint contact mechanics for individuals but may not capture the variance in knee joint geometry across a population. Statistical shape modeling uses the dataset of a cohort to encapsulate population-wide variability. The present study aimed to develop a shape modeling procedure for poromechanical finite element models of knee joint to account for population diversity in the creep response of knees. Shape models of right knee joints were created from MRI of 31 healthy male subjects using principal component analysis. Creep analysis was performed for 13 shape models in total, i.e., the average model, plus six models for both the first and second principal modes. For a given loading, the contact and fluid pressures varied substantially within these mathematically produced models but compared reasonably well to that of three subject-specific models that were constructed from individual knees, representing approximately the smallest, median and largest knees of the 31 right knees. While the joint size variation, generally represented by the first principal component, predominantly influenced the magnitudes of contact and fluid pressures, the joint shape variation characterized by the second principal component further affected the pressure distribution, and load sharing between the lateral and medial compartments. The present study evaluated a workflow for the statistical shape modeling of poromechanical behavior of knee joints with sample results based on a small population. However, the workflow can be readily used for a large population to address the challenge of interpatient variability in joint contact mechanics, particularly in contact and fluid pressures in articular cartilage, and variable creep behaviors of the joint associated with individual anatomical variations. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Biomedical Engineering is the property of Springer Nature 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 183109159 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint: Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint: R. Deng et al. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Deng%2C+Ruoqi%22">Deng, Ruoqi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bruce%2C+Olivia+L%2E%22">Bruce, Olivia L.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gibbons%2C+Kalin+D%2E%22">Gibbons, Kalin D.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fitzpatrick%2C+Clare+K%2E%22">Fitzpatrick, Clare K.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+LePing%22">Li, LePing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Leping.Li@ucalgary.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Biomedical+Engineering%22">Annals of Biomedical Engineering</searchLink>. Mar2025, Vol. 53 Issue 3, p549-561. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Knee+joint%22">Knee joint</searchLink><br /><searchLink fieldCode="DE" term="%22Joints+%28Anatomy%29%22">Joints (Anatomy)</searchLink><br /><searchLink fieldCode="DE" term="%22Contact+mechanics%22">Contact mechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+pressure%22">Fluid pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Articular+cartilage%22">Articular cartilage</searchLink><br /><searchLink fieldCode="DE" term="%22Knee%22">Knee</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Subject-specific knee joint models are widely used to predict joint contact mechanics for individuals but may not capture the variance in knee joint geometry across a population. Statistical shape modeling uses the dataset of a cohort to encapsulate population-wide variability. The present study aimed to develop a shape modeling procedure for poromechanical finite element models of knee joint to account for population diversity in the creep response of knees. Shape models of right knee joints were created from MRI of 31 healthy male subjects using principal component analysis. Creep analysis was performed for 13 shape models in total, i.e., the average model, plus six models for both the first and second principal modes. For a given loading, the contact and fluid pressures varied substantially within these mathematically produced models but compared reasonably well to that of three subject-specific models that were constructed from individual knees, representing approximately the smallest, median and largest knees of the 31 right knees. While the joint size variation, generally represented by the first principal component, predominantly influenced the magnitudes of contact and fluid pressures, the joint shape variation characterized by the second principal component further affected the pressure distribution, and load sharing between the lateral and medial compartments. The present study evaluated a workflow for the statistical shape modeling of poromechanical behavior of knee joints with sample results based on a small population. However, the workflow can be readily used for a large population to address the challenge of interpatient variability in joint contact mechanics, particularly in contact and fluid pressures in articular cartilage, and variable creep behaviors of the joint associated with individual anatomical variations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Biomedical Engineering is the property of Springer Nature 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10439-024-03648-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 549 Subjects: – SubjectFull: Knee joint Type: general – SubjectFull: Joints (Anatomy) Type: general – SubjectFull: Contact mechanics Type: general – SubjectFull: Fluid pressure Type: general – SubjectFull: Articular cartilage Type: general – SubjectFull: Knee Type: general Titles: – TitleFull: Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint: Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint: R. Deng et al. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Deng, Ruoqi – PersonEntity: Name: NameFull: Bruce, Olivia L. – PersonEntity: Name: NameFull: Gibbons, Kalin D. – PersonEntity: Name: NameFull: Fitzpatrick, Clare K. – PersonEntity: Name: NameFull: Li, LePing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00906964 Numbering: – Type: volume Value: 53 – Type: issue Value: 3 Titles: – TitleFull: Annals of Biomedical Engineering Type: main |
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