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Open hands: an open-source statistical shape model of the finger bones

Open hands: an open-source statistical shape model of the finger bones
Open hands: an open-source statistical shape model of the finger bones
This paper presents statistical shape models of the four fingers of the hand, with an emphasis on anatomic analysis of the proximal and distal interphalangeal joints. A multi-body statistical shape modelling pipeline was implemented on an exemplar training dataset of computed tomography (CT) scans of 10 right hands (5F:5M, 27–37 years, free from disease or injury) imaged at 0.3 mm resolution, segmented, meshed and aligned. Model generated included pose neutralisation to remove joint angle variation during imaging. Repositioning was successful; no joint flexion variation was observed in the resulting model. The first principal component (PC) of morphological variation represented phalanx size in all fingers. Subsequent PCs showed variation in position along the palmar-dorsal axis, and bone breadth: length ratio. Finally, the models were interrogated to provide gross measures of bone lengths and joint spaces. These models have been published for open use to support wider community efforts in hand biomechanical analysis, providing bony anatomy descriptions whilst preserving the security of the underlying imaging data and privacy of the participants. The model describes a small, homogeneous population, and assumptions cannot be made about how it represents individuals outside the training dataset. However, it supplements anthropometric datasets with additional shape information, and may be useful for investigating factors such as joint morphology and design of hand-interfacing devices and products. The model has been shared as an open-source repository (https://github.com/abel-research/OpenHands), and we encourage the community to use and contribute to it.
0090-6964
Munyebvu, T.A.
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Metcalf, C.D.
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Burson-Thomas, C.B.
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Warwick, D.
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Everitt, C.
4340b591-1e4b-4387-a8be-c9d79ef65c3b
King, L.
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Darekar, A.
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Browne, M.
6578cc37-7bd6-43b9-ae5c-77ccb7726397
Heller, M.O.W.
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Dickinson, A.S.
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Munyebvu, T.A.
43661665-9547-4fd1-9620-a6d774e960c7
Metcalf, C.D.
09a47264-8bd5-43bd-a93e-177992c22c72
Burson-Thomas, C.B.
2bacf260-3637-4943-9816-3d8f18c24eb7
Warwick, D.
f6d42a53-1af3-44f9-9741-5268e95c2b7e
Everitt, C.
4340b591-1e4b-4387-a8be-c9d79ef65c3b
King, L.
7442bd3c-ed4c-46aa-9d9b-1898a113c740
Darekar, A.
e66f3c01-0825-4da9-af68-e645f4c57f62
Browne, M.
6578cc37-7bd6-43b9-ae5c-77ccb7726397
Heller, M.O.W.
3da19d2a-f34d-4ff1-8a34-9b5a7e695829
Dickinson, A.S.
10151972-c1b5-4f7d-bc12-6482b5870cad

Munyebvu, T.A., Metcalf, C.D., Burson-Thomas, C.B., Warwick, D., Everitt, C., King, L., Darekar, A., Browne, M., Heller, M.O.W. and Dickinson, A.S. (2024) Open hands: an open-source statistical shape model of the finger bones. Annals of Biomedical Engineering. (doi:10.1007/s10439-024-03560-7).

Record type: Article

Abstract

This paper presents statistical shape models of the four fingers of the hand, with an emphasis on anatomic analysis of the proximal and distal interphalangeal joints. A multi-body statistical shape modelling pipeline was implemented on an exemplar training dataset of computed tomography (CT) scans of 10 right hands (5F:5M, 27–37 years, free from disease or injury) imaged at 0.3 mm resolution, segmented, meshed and aligned. Model generated included pose neutralisation to remove joint angle variation during imaging. Repositioning was successful; no joint flexion variation was observed in the resulting model. The first principal component (PC) of morphological variation represented phalanx size in all fingers. Subsequent PCs showed variation in position along the palmar-dorsal axis, and bone breadth: length ratio. Finally, the models were interrogated to provide gross measures of bone lengths and joint spaces. These models have been published for open use to support wider community efforts in hand biomechanical analysis, providing bony anatomy descriptions whilst preserving the security of the underlying imaging data and privacy of the participants. The model describes a small, homogeneous population, and assumptions cannot be made about how it represents individuals outside the training dataset. However, it supplements anthropometric datasets with additional shape information, and may be useful for investigating factors such as joint morphology and design of hand-interfacing devices and products. The model has been shared as an open-source repository (https://github.com/abel-research/OpenHands), and we encourage the community to use and contribute to it.

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s10439-024-03560-7 - Version of Record
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In preparation date: December 2023
Accepted/In Press date: 10 June 2024
Published date: 3 July 2024

Identifiers

Local EPrints ID: 491904
URI: http://eprints.soton.ac.uk/id/eprint/491904
ISSN: 0090-6964
PURE UUID: 110db283-b8e7-440a-b181-a65e52cddce0
ORCID for C.D. Metcalf: ORCID iD orcid.org/0000-0002-7404-6066
ORCID for C.B. Burson-Thomas: ORCID iD orcid.org/0000-0001-9308-4669
ORCID for M. Browne: ORCID iD orcid.org/0000-0001-5184-050X
ORCID for M.O.W. Heller: ORCID iD orcid.org/0000-0002-7879-1135
ORCID for A.S. Dickinson: ORCID iD orcid.org/0000-0002-9647-1944

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Date deposited: 05 Jul 2024 16:55
Last modified: 12 Jul 2024 02:05

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Contributors

Author: T.A. Munyebvu
Author: C.D. Metcalf ORCID iD
Author: D. Warwick
Author: C. Everitt
Author: L. King
Author: A. Darekar
Author: M. Browne ORCID iD
Author: M.O.W. Heller ORCID iD
Author: A.S. Dickinson ORCID iD

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