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The digital human forearm and hand
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| Zeitschriftentitel: | Journal of Anatomy |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Journal of Anatomy, 233, 2018, 5, S. 557-566 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Kerkhof, Faes D. van Leeuwen, Timo Vereecke, Evie E. Kerkhof, Faes D. van Leeuwen, Timo Vereecke, Evie E. |
|---|---|
| author |
Kerkhof, Faes D. van Leeuwen, Timo Vereecke, Evie E. |
| spellingShingle |
Kerkhof, Faes D. van Leeuwen, Timo Vereecke, Evie E. Journal of Anatomy The digital human forearm and hand Cell Biology Developmental Biology Molecular Biology Ecology, Evolution, Behavior and Systematics Histology Anatomy |
| author_sort |
kerkhof, faes d. |
| spelling |
Kerkhof, Faes D. van Leeuwen, Timo Vereecke, Evie E. 0021-8782 1469-7580 Wiley Cell Biology Developmental Biology Molecular Biology Ecology, Evolution, Behavior and Systematics Histology Anatomy http://dx.doi.org/10.1111/joa.12877 <jats:title>Abstract</jats:title><jats:p>How changes in anatomy affect joint biomechanics can be studied using musculoskeletal modelling, making it a valuable tool to explore joint function in healthy and pathological joints. However, gathering the anatomical, geometrical and physiological data necessary to create a model can be challenging. Very few integrated datasets exist and even less raw data is openly available to create new models. Therefore, the goal of the present study is to create an integrated digital forearm and make the raw data available via an open‐access database. An un‐embalmed cadaveric arm was digitized using 7T <jats:styled-content style="fixed-case">MRI</jats:styled-content> and <jats:styled-content style="fixed-case">CT</jats:styled-content> scans. 3D geometrical models of bones, cartilage, muscle and muscle pathways were created. After <jats:styled-content style="fixed-case">MRI</jats:styled-content> and <jats:styled-content style="fixed-case">CT</jats:styled-content> scanning, physiological muscle parameters (e.g. muscle volume, mass, length, pennation angle, physiological cross‐sectional area, tendon length) were obtained via detailed dissection. After dissection, muscle biopsies were fixated and confocal microscopy was used to visualize and measure sarcomere lengths. This study provides an integrated anatomical dataset on which complete and accurate musculoskeletal models of the hand can be based. By creating a 3D digital human forearm, including all relevant anatomical parameters, a more realistic musculoskeletal model can be created. Furthermore, open access to the anatomical dataset makes it possible for other researchers to use these data in the development of a musculoskeletal model of the hand.</jats:p> The digital human forearm and hand Journal of Anatomy |
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The digital human forearm and hand |
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The digital human forearm and hand |
| title_full |
The digital human forearm and hand |
| title_fullStr |
The digital human forearm and hand |
| title_full_unstemmed |
The digital human forearm and hand |
| title_short |
The digital human forearm and hand |
| title_sort |
the digital human forearm and hand |
| topic |
Cell Biology Developmental Biology Molecular Biology Ecology, Evolution, Behavior and Systematics Histology Anatomy |
| url |
http://dx.doi.org/10.1111/joa.12877 |
| publishDate |
2018 |
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557-566 |
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<jats:title>Abstract</jats:title><jats:p>How changes in anatomy affect joint biomechanics can be studied using musculoskeletal modelling, making it a valuable tool to explore joint function in healthy and pathological joints. However, gathering the anatomical, geometrical and physiological data necessary to create a model can be challenging. Very few integrated datasets exist and even less raw data is openly available to create new models. Therefore, the goal of the present study is to create an integrated digital forearm and make the raw data available via an open‐access database. An un‐embalmed cadaveric arm was digitized using 7T <jats:styled-content style="fixed-case">MRI</jats:styled-content> and <jats:styled-content style="fixed-case">CT</jats:styled-content> scans. 3D geometrical models of bones, cartilage, muscle and muscle pathways were created. After <jats:styled-content style="fixed-case">MRI</jats:styled-content> and <jats:styled-content style="fixed-case">CT</jats:styled-content> scanning, physiological muscle parameters (e.g. muscle volume, mass, length, pennation angle, physiological cross‐sectional area, tendon length) were obtained via detailed dissection. After dissection, muscle biopsies were fixated and confocal microscopy was used to visualize and measure sarcomere lengths. This study provides an integrated anatomical dataset on which complete and accurate musculoskeletal models of the hand can be based. By creating a 3D digital human forearm, including all relevant anatomical parameters, a more realistic musculoskeletal model can be created. Furthermore, open access to the anatomical dataset makes it possible for other researchers to use these data in the development of a musculoskeletal model of the hand.</jats:p> |
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| author | Kerkhof, Faes D., van Leeuwen, Timo, Vereecke, Evie E. |
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| description | <jats:title>Abstract</jats:title><jats:p>How changes in anatomy affect joint biomechanics can be studied using musculoskeletal modelling, making it a valuable tool to explore joint function in healthy and pathological joints. However, gathering the anatomical, geometrical and physiological data necessary to create a model can be challenging. Very few integrated datasets exist and even less raw data is openly available to create new models. Therefore, the goal of the present study is to create an integrated digital forearm and make the raw data available via an open‐access database. An un‐embalmed cadaveric arm was digitized using 7T <jats:styled-content style="fixed-case">MRI</jats:styled-content> and <jats:styled-content style="fixed-case">CT</jats:styled-content> scans. 3D geometrical models of bones, cartilage, muscle and muscle pathways were created. After <jats:styled-content style="fixed-case">MRI</jats:styled-content> and <jats:styled-content style="fixed-case">CT</jats:styled-content> scanning, physiological muscle parameters (e.g. muscle volume, mass, length, pennation angle, physiological cross‐sectional area, tendon length) were obtained via detailed dissection. After dissection, muscle biopsies were fixated and confocal microscopy was used to visualize and measure sarcomere lengths. This study provides an integrated anatomical dataset on which complete and accurate musculoskeletal models of the hand can be based. By creating a 3D digital human forearm, including all relevant anatomical parameters, a more realistic musculoskeletal model can be created. Furthermore, open access to the anatomical dataset makes it possible for other researchers to use these data in the development of a musculoskeletal model of the hand.</jats:p> |
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| spelling | Kerkhof, Faes D. van Leeuwen, Timo Vereecke, Evie E. 0021-8782 1469-7580 Wiley Cell Biology Developmental Biology Molecular Biology Ecology, Evolution, Behavior and Systematics Histology Anatomy http://dx.doi.org/10.1111/joa.12877 <jats:title>Abstract</jats:title><jats:p>How changes in anatomy affect joint biomechanics can be studied using musculoskeletal modelling, making it a valuable tool to explore joint function in healthy and pathological joints. However, gathering the anatomical, geometrical and physiological data necessary to create a model can be challenging. Very few integrated datasets exist and even less raw data is openly available to create new models. Therefore, the goal of the present study is to create an integrated digital forearm and make the raw data available via an open‐access database. An un‐embalmed cadaveric arm was digitized using 7T <jats:styled-content style="fixed-case">MRI</jats:styled-content> and <jats:styled-content style="fixed-case">CT</jats:styled-content> scans. 3D geometrical models of bones, cartilage, muscle and muscle pathways were created. After <jats:styled-content style="fixed-case">MRI</jats:styled-content> and <jats:styled-content style="fixed-case">CT</jats:styled-content> scanning, physiological muscle parameters (e.g. muscle volume, mass, length, pennation angle, physiological cross‐sectional area, tendon length) were obtained via detailed dissection. After dissection, muscle biopsies were fixated and confocal microscopy was used to visualize and measure sarcomere lengths. This study provides an integrated anatomical dataset on which complete and accurate musculoskeletal models of the hand can be based. By creating a 3D digital human forearm, including all relevant anatomical parameters, a more realistic musculoskeletal model can be created. Furthermore, open access to the anatomical dataset makes it possible for other researchers to use these data in the development of a musculoskeletal model of the hand.</jats:p> The digital human forearm and hand Journal of Anatomy |
| spellingShingle | Kerkhof, Faes D., van Leeuwen, Timo, Vereecke, Evie E., Journal of Anatomy, The digital human forearm and hand, Cell Biology, Developmental Biology, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Histology, Anatomy |
| title | The digital human forearm and hand |
| title_full | The digital human forearm and hand |
| title_fullStr | The digital human forearm and hand |
| title_full_unstemmed | The digital human forearm and hand |
| title_short | The digital human forearm and hand |
| title_sort | the digital human forearm and hand |
| title_unstemmed | The digital human forearm and hand |
| topic | Cell Biology, Developmental Biology, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Histology, Anatomy |
| url | http://dx.doi.org/10.1111/joa.12877 |