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Developing an analogue residual limb for comparative DVC analysis of transtibial prosthetic socket designs

Developing an analogue residual limb for comparative DVC analysis of transtibial prosthetic socket designs
Developing an analogue residual limb for comparative DVC analysis of transtibial prosthetic socket designs
Personalised prosthetic sockets are fabricated by expert clinicians in a skill- and experience-based process, with research providing tools to support evidence-based practice. We propose that digital volume correlation (DVC) may offer a deeper understanding of load transfer from prosthetic sockets into the residual limb, and tissue injury risk. This study’s aim was to develop a transtibial amputated limb analogue for volumetric strain estimation using DVC, evaluating its ability to distinguish between socket designs. A soft tissue analogue material was developed, comprising silicone elastomer and sand particles as fiducial markers for image correlation. The material was cast to form an analogue residual limb informed by an MRI scan of a person with transtibial amputation, for whom two polymer check sockets were produced by an expert prosthetist. The model was micro-CT scanned according to (i) an unloaded noise study protocol and (ii) a case study comparison between the two socket designs, loaded to represent two-legged stance. The scans were reconstructed to give 108 µm voxels. The DVC noise study indicated a 64 vx subvolume and 50% overlap, giving better than 0.32% strain sensitivity, and ~3.5 mm spatial resolution of strain. Strain fields induced by the loaded sockets indicated tensile, compressive and shear strain magnitudes in the order of 10%, with a high signal:noise ratio enabling distinction between the two socket designs. DVC may not be applicable for socket design in the clinical setting, but does offer critical 3D strain information from which existing in vitro and in silico tools can be compared and validated to support the design and manufacture of prosthetic sockets, and enhance the biomechanical understanding of the load transfer between the limb and the prosthesis.
Amputation, DVC, Digital volume correlation, Micro-CT, Prosthetic
1-15
Rankin, Kathryn
d9516566-0ad8-473d-b99b-4683c663a2b7
Steer, Joshua
b958f526-9782-4e36-9c49-ad48e8f650ed
Paton, Joshua
39f58ae7-f548-4d2e-a1aa-be20380355d6
Mavrogordato, Mark
f3e0879b-118a-463a-a130-1c890e9ab547
Marter, Alexander
58759fea-80f7-4c31-b76f-36da5e5ae9fd
Worsley, Peter
6d33aee3-ef43-468d-aef6-86d190de6756
Browne, Martin
6578cc37-7bd6-43b9-ae5c-77ccb7726397
Dickinson, Alexander
10151972-c1b5-4f7d-bc12-6482b5870cad
Rankin, Kathryn
d9516566-0ad8-473d-b99b-4683c663a2b7
Steer, Joshua
b958f526-9782-4e36-9c49-ad48e8f650ed
Paton, Joshua
39f58ae7-f548-4d2e-a1aa-be20380355d6
Mavrogordato, Mark
f3e0879b-118a-463a-a130-1c890e9ab547
Marter, Alexander
58759fea-80f7-4c31-b76f-36da5e5ae9fd
Worsley, Peter
6d33aee3-ef43-468d-aef6-86d190de6756
Browne, Martin
6578cc37-7bd6-43b9-ae5c-77ccb7726397
Dickinson, Alexander
10151972-c1b5-4f7d-bc12-6482b5870cad

Rankin, Kathryn, Steer, Joshua, Paton, Joshua, Mavrogordato, Mark, Marter, Alexander, Worsley, Peter, Browne, Martin and Dickinson, Alexander (2020) Developing an analogue residual limb for comparative DVC analysis of transtibial prosthetic socket designs. Materials, 13 (18), 1-15, [3955]. (doi:10.3390/ma13183955).

Record type: Article

Abstract

Personalised prosthetic sockets are fabricated by expert clinicians in a skill- and experience-based process, with research providing tools to support evidence-based practice. We propose that digital volume correlation (DVC) may offer a deeper understanding of load transfer from prosthetic sockets into the residual limb, and tissue injury risk. This study’s aim was to develop a transtibial amputated limb analogue for volumetric strain estimation using DVC, evaluating its ability to distinguish between socket designs. A soft tissue analogue material was developed, comprising silicone elastomer and sand particles as fiducial markers for image correlation. The material was cast to form an analogue residual limb informed by an MRI scan of a person with transtibial amputation, for whom two polymer check sockets were produced by an expert prosthetist. The model was micro-CT scanned according to (i) an unloaded noise study protocol and (ii) a case study comparison between the two socket designs, loaded to represent two-legged stance. The scans were reconstructed to give 108 µm voxels. The DVC noise study indicated a 64 vx subvolume and 50% overlap, giving better than 0.32% strain sensitivity, and ~3.5 mm spatial resolution of strain. Strain fields induced by the loaded sockets indicated tensile, compressive and shear strain magnitudes in the order of 10%, with a high signal:noise ratio enabling distinction between the two socket designs. DVC may not be applicable for socket design in the clinical setting, but does offer critical 3D strain information from which existing in vitro and in silico tools can be compared and validated to support the design and manufacture of prosthetic sockets, and enhance the biomechanical understanding of the load transfer between the limb and the prosthesis.

Text
materials-13-03955 - Version of Record
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More information

In preparation date: 12 June 2020
Submitted date: 31 July 2020
Accepted/In Press date: 2 September 2020
e-pub ahead of print date: 7 September 2020
Published date: September 2020
Keywords: Amputation, DVC, Digital volume correlation, Micro-CT, Prosthetic

Identifiers

Local EPrints ID: 443642
URI: http://eprints.soton.ac.uk/id/eprint/443642
PURE UUID: d05c015d-c2d1-4334-8600-20dafd9eed1d
ORCID for Kathryn Rankin: ORCID iD orcid.org/0000-0002-8458-1038
ORCID for Joshua Steer: ORCID iD orcid.org/0000-0002-6288-1347
ORCID for Peter Worsley: ORCID iD orcid.org/0000-0003-0145-5042
ORCID for Martin Browne: ORCID iD orcid.org/0000-0001-5184-050X
ORCID for Alexander Dickinson: ORCID iD orcid.org/0000-0002-9647-1944

Catalogue record

Date deposited: 07 Sep 2020 16:30
Last modified: 26 Nov 2021 03:18

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Contributors

Author: Kathryn Rankin ORCID iD
Author: Joshua Steer ORCID iD
Author: Joshua Paton
Author: Alexander Marter
Author: Peter Worsley ORCID iD
Author: Martin Browne ORCID iD

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