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OpenLimbTT: an open source transtibial residual limb model for simulation and design

OpenLimbTT: an open source transtibial residual limb model for simulation and design
OpenLimbTT: an open source transtibial residual limb model for simulation and design
Poor socket fit is the leading cause of prosthetic limb discomfort. However, currently clinicians have limited objective data to support and improve socket design. Finite element analysis predictions might help improve the fit, but this requires internal and external anatomy models. While external 3D surface scans are often collected in routine clinical computer-aided design practice, detailed internal anatomy imaging (e.g., MRI or CT) is not. We present a prototype statistical shape model (SSM) describing the transtibial amputated residual limb, generated using a sparse dataset of 33 MRI and CT scans.
To describe the maximal shape variance, training scans are size-normalized to their estimated intact tibia length. A mean limb is calculated and principal component analysis used to extract the principal modes of shape variation. In an illustrative use case, the model is interrogated to predict internal bone shapes given a skin surface shape.
The model attributes ~52% of shape variance to amputation height and ~17% to slender-bulbous soft tissue profile. In cross-validation, left-out shapes influenced the mean by 0.14–0.88 mm root mean square error (RMSE) surface deviation (median 0.42 mm), and left-out shapes were recreated with 1.82–5.75 mm RMSE (median 3.40 mm). Linear regression between mode scores from skin-only- and full-model SSMs allowed prediction of bone shapes from the skin with 3.56–10.9 mm RMSE (median 6.66 mm).
The model showed the feasibility of predicting bone shapes from surface scans, which addresses a key barrier to implementing simulation within clinical practice, and enables more representative prosthetic biomechanics research.
2632-6736
Sunderland, Fiona
2162e2c4-383b-4ae4-bb1e-9cd00f22a899
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28
Bramley, Jennifer
102c61c2-fb86-4efb-ae98-053d46207f53
Steer, Joshua
b958f526-9782-4e36-9c49-ad48e8f650ed
Al-Dirini, Rami
c136dbc5-44ac-4388-b875-e492acf4e9e1
Toderita, Diana
e884170d-08d8-48a6-81f4-99a016039c42
Bull, Anthony
8b4ad342-8075-41b3-bf4b-6ae6a8dceb98
Ding, Ziyun
db1bd2ef-77a1-48c9-bf26-bea6755d5e82
Henson, David
4fbafa36-846e-4675-92e3-149a1b60e827
Metcalf, Cheryl
09a47264-8bd5-43bd-a93e-177992c22c72
Worsley, Peter R.
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Dickinson, Alex
10151972-c1b5-4f7d-bc12-6482b5870cad
Sunderland, Fiona
2162e2c4-383b-4ae4-bb1e-9cd00f22a899
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28
Bramley, Jennifer
102c61c2-fb86-4efb-ae98-053d46207f53
Steer, Joshua
b958f526-9782-4e36-9c49-ad48e8f650ed
Al-Dirini, Rami
c136dbc5-44ac-4388-b875-e492acf4e9e1
Toderita, Diana
e884170d-08d8-48a6-81f4-99a016039c42
Bull, Anthony
8b4ad342-8075-41b3-bf4b-6ae6a8dceb98
Ding, Ziyun
db1bd2ef-77a1-48c9-bf26-bea6755d5e82
Henson, David
4fbafa36-846e-4675-92e3-149a1b60e827
Metcalf, Cheryl
09a47264-8bd5-43bd-a93e-177992c22c72
Worsley, Peter R.
6d33aee3-ef43-468d-aef6-86d190de6756
Dickinson, Alex
10151972-c1b5-4f7d-bc12-6482b5870cad

Sunderland, Fiona, Sobey, Adam, Bramley, Jennifer, Steer, Joshua, Al-Dirini, Rami, Toderita, Diana, Bull, Anthony, Ding, Ziyun, Henson, David, Metcalf, Cheryl, Worsley, Peter R. and Dickinson, Alex (2025) OpenLimbTT: an open source transtibial residual limb model for simulation and design. Data-Centric Engineering. (doi:10.1017/dce.2025.10019).

Record type: Article

Abstract

Poor socket fit is the leading cause of prosthetic limb discomfort. However, currently clinicians have limited objective data to support and improve socket design. Finite element analysis predictions might help improve the fit, but this requires internal and external anatomy models. While external 3D surface scans are often collected in routine clinical computer-aided design practice, detailed internal anatomy imaging (e.g., MRI or CT) is not. We present a prototype statistical shape model (SSM) describing the transtibial amputated residual limb, generated using a sparse dataset of 33 MRI and CT scans.
To describe the maximal shape variance, training scans are size-normalized to their estimated intact tibia length. A mean limb is calculated and principal component analysis used to extract the principal modes of shape variation. In an illustrative use case, the model is interrogated to predict internal bone shapes given a skin surface shape.
The model attributes ~52% of shape variance to amputation height and ~17% to slender-bulbous soft tissue profile. In cross-validation, left-out shapes influenced the mean by 0.14–0.88 mm root mean square error (RMSE) surface deviation (median 0.42 mm), and left-out shapes were recreated with 1.82–5.75 mm RMSE (median 3.40 mm). Linear regression between mode scores from skin-only- and full-model SSMs allowed prediction of bone shapes from the skin with 3.56–10.9 mm RMSE (median 6.66 mm).
The model showed the feasibility of predicting bone shapes from surface scans, which addresses a key barrier to implementing simulation within clinical practice, and enables more representative prosthetic biomechanics research.

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2024.11.27.24317622v1.full - Accepted Manuscript
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Available under License Creative Commons Attribution.
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For_Copyediting_OpenLimbTT_Paper - Accepted Manuscript
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More information

Accepted/In Press date: 3 July 2025
Published date: 15 August 2025

Identifiers

Local EPrints ID: 496907
URI: http://eprints.soton.ac.uk/id/eprint/496907
ISSN: 2632-6736
PURE UUID: e9831231-5e0d-4e2b-bf72-fd38a72972db
ORCID for Adam Sobey: ORCID iD orcid.org/0000-0001-6880-8338
ORCID for Jennifer Bramley: ORCID iD orcid.org/0000-0003-0414-3984
ORCID for Joshua Steer: ORCID iD orcid.org/0000-0002-6288-1347
ORCID for Cheryl Metcalf: ORCID iD orcid.org/0000-0002-7404-6066
ORCID for Peter R. Worsley: ORCID iD orcid.org/0000-0003-0145-5042
ORCID for Alex Dickinson: ORCID iD orcid.org/0000-0002-9647-1944

Catalogue record

Date deposited: 08 Jan 2025 12:43
Last modified: 22 Aug 2025 02:26

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Contributors

Author: Adam Sobey ORCID iD
Author: Jennifer Bramley ORCID iD
Author: Joshua Steer ORCID iD
Author: Rami Al-Dirini
Author: Diana Toderita
Author: Anthony Bull
Author: Ziyun Ding
Author: David Henson
Author: Cheryl Metcalf ORCID iD
Author: Alex Dickinson ORCID iD

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