TLEM 2.0 - A comprehensive musculoskeletal geometry dataset for subject-specific modeling of lower extremity.
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| Title: | TLEM 2.0 - A comprehensive musculoskeletal geometry dataset for subject-specific modeling of lower extremity. |
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| Authors: | Carbone, V.1 v.carbone@utwente.nl, Fluit, R.1, Pellikaan, P.1, van der Krogt, M. M.1,2, Janssen, D.3, Damsgaard, M.4, Vigneron, L.5, Feilkas, T.6, Koopman, H. F. J. M.1, Verdonschot, N.1,3 |
| Source: | Journal of Biomechanics. 2015, Vol. 48 Issue 5, p734-741. 8p. |
| Subjects: | Musculoskeletal system physiology, Leg, Biomechanics, Orthopedic surgery, Diagnostic imaging, Computed tomography, Anatomy |
| Abstract: | When analyzing complex biomechanical problems such as predicting the effects of orthopedic surgery, subject-specific musculoskeletal models are essential to achieve reliable predictions. The aim of this paper is to present the Twente Lower Extremity Model 2.0, a new comprehensive dataset of the musculoskeletal geometry of the lower extremity, which is based on medical imaging data and dissection performed on the right lower extremity of a fresh male cadaver. Bone, muscle and subcutaneous fat (including skin) volumes were segmented from computed tomography and magnetic resonance images scans. Inertial parameters were estimated from the image-based segmented volumes. A complete cadaver dissection was performed, in which bony landmarks, attachments sites and lines-ofaction of 55 muscle actuators and 12 ligaments, bony wrapping surfaces, and joint geometry were measured. The obtained musculoskeletal geometry dataset was finally implemented in the AnyBody Modeling System™ (AnyBody Technology A/S, Aalborg, Denmark), resulting in a model consisting of 12 segments, 11 joints and 21 degrees of freedom, and including 166 muscle-tendon elements for each leg. The new TLEM 2.0 dataset was purposely built to be easily combined with novel image-based scaling techniques, such as bone surface morphing, muscle volume registration and muscle-tendon path identification, in order to obtain subject-specific musculoskeletal models in a quick and accurate way. The complete dataset, including CT and MRI scans and segmented volume and surfaces, is made available at http://www.utwente.nl/ctw/bw/research/projects/TLEMsafe for the biomechanical community, in order to accelerate the development and adoption of subject-specific models on large scale. TLEM 2.0 is freely shared for non-commercial use only, under acceptance of the TLEMsafe Research License Agreement. [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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 101530119 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: TLEM 2.0 - A comprehensive musculoskeletal geometry dataset for subject-specific modeling of lower extremity. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Carbone%2C+V%2E%22">Carbone, V.</searchLink><relatesTo>1</relatesTo><i> v.carbone@utwente.nl</i><br /><searchLink fieldCode="AR" term="%22Fluit%2C+R%2E%22">Fluit, R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pellikaan%2C+P%2E%22">Pellikaan, P.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22van+der+Krogt%2C+M%2E+M%2E%22">van der Krogt, M. M.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Janssen%2C+D%2E%22">Janssen, D.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Damsgaard%2C+M%2E%22">Damsgaard, M.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Vigneron%2C+L%2E%22">Vigneron, L.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Feilkas%2C+T%2E%22">Feilkas, T.</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Koopman%2C+H%2E+F%2E+J%2E+M%2E%22">Koopman, H. F. J. M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Verdonschot%2C+N%2E%22">Verdonschot, N.</searchLink><relatesTo>1,3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Biomechanics%22">Journal of Biomechanics</searchLink>. 2015, Vol. 48 Issue 5, p734-741. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Musculoskeletal+system+physiology%22">Musculoskeletal system physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Leg%22">Leg</searchLink><br /><searchLink fieldCode="DE" term="%22Biomechanics%22">Biomechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Orthopedic+surgery%22">Orthopedic surgery</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Computed+tomography%22">Computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Anatomy%22">Anatomy</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: When analyzing complex biomechanical problems such as predicting the effects of orthopedic surgery, subject-specific musculoskeletal models are essential to achieve reliable predictions. The aim of this paper is to present the Twente Lower Extremity Model 2.0, a new comprehensive dataset of the musculoskeletal geometry of the lower extremity, which is based on medical imaging data and dissection performed on the right lower extremity of a fresh male cadaver. Bone, muscle and subcutaneous fat (including skin) volumes were segmented from computed tomography and magnetic resonance images scans. Inertial parameters were estimated from the image-based segmented volumes. A complete cadaver dissection was performed, in which bony landmarks, attachments sites and lines-ofaction of 55 muscle actuators and 12 ligaments, bony wrapping surfaces, and joint geometry were measured. The obtained musculoskeletal geometry dataset was finally implemented in the AnyBody Modeling System™ (AnyBody Technology A/S, Aalborg, Denmark), resulting in a model consisting of 12 segments, 11 joints and 21 degrees of freedom, and including 166 muscle-tendon elements for each leg. The new TLEM 2.0 dataset was purposely built to be easily combined with novel image-based scaling techniques, such as bone surface morphing, muscle volume registration and muscle-tendon path identification, in order to obtain subject-specific musculoskeletal models in a quick and accurate way. The complete dataset, including CT and MRI scans and segmented volume and surfaces, is made available at http://www.utwente.nl/ctw/bw/research/projects/TLEMsafe for the biomechanical community, in order to accelerate the development and adoption of subject-specific models on large scale. TLEM 2.0 is freely shared for non-commercial use only, under acceptance of the TLEMsafe Research License Agreement. [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=101530119 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jbiomech.2014.12.034 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 734 Subjects: – SubjectFull: Musculoskeletal system physiology Type: general – SubjectFull: Leg Type: general – SubjectFull: Biomechanics Type: general – SubjectFull: Orthopedic surgery Type: general – SubjectFull: Diagnostic imaging Type: general – SubjectFull: Computed tomography Type: general – SubjectFull: Anatomy Type: general Titles: – TitleFull: TLEM 2.0 - A comprehensive musculoskeletal geometry dataset for subject-specific modeling of lower extremity. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Carbone, V. – PersonEntity: Name: NameFull: Fluit, R. – PersonEntity: Name: NameFull: Pellikaan, P. – PersonEntity: Name: NameFull: van der Krogt, M. M. – PersonEntity: Name: NameFull: Janssen, D. – PersonEntity: Name: NameFull: Damsgaard, M. – PersonEntity: Name: NameFull: Vigneron, L. – PersonEntity: Name: NameFull: Feilkas, T. – PersonEntity: Name: NameFull: Koopman, H. F. J. M. – PersonEntity: Name: NameFull: Verdonschot, N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 00219290 Numbering: – Type: volume Value: 48 – Type: issue Value: 5 Titles: – TitleFull: Journal of Biomechanics Type: main |
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