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Streamlining the Prosthesis Fabrication Process Using 3D Technologies

Published: 02 February 2021 Publication History

Abstract

A common practice in the prosthesis fabrication process involves plaster casting, in which prosthetists create and adjust a plaster mould of a patient's residual limb until it fits. This iterative process tends to be rather time-consuming and resource-intensive and needs to be restarted anew in case the physical model is corrupted or destroyed at any stage. We employed a user-centred design process to streamline prosthesis fabrication by incorporating 3D scanning, modelling and printing technologies together with experts from the prosthetics and orthotics department of a local hospital. Our results demonstrate the feasibility of integrating 3D technologies into the process of fabricating prostheses models. Using 3D technologies, the digital geometry data of patients' residual limbs are retained and can be modelled and reused. With experts in the field, we evaluate the opportunities these technologies provide for patients with the goal of improving patient care.

References

[1]
Patrick Baudisch and Stefanie Mueller. 2017. Personal Fabrication. Foundations and Trends® in Human-Computer Interaction 10, 3-4 (2017), 165--293. https://doi.org/10.1561/1100000055
[2]
Utsav Bhat, Neil Campbell, Sean Hanrahan, Ben Hansen, Harfiyanto Santoso, and Wiktor Zywicki. 2019. New Generation Technology for Hospital-Manufactured Orthoses and Prostheses. (2019). Subject: ENGR90034 - Creating Innovative Engineering.
[3]
Abid Haleem and Mohd. Javaid. 2019. 3D scanning applications in medical field: A literature-based review. Clinical Epidemiology and Global Health 7, 2 (2019), 199--210. https://doi.org/10.1016/j.cegh.2018.05.006
[4]
Nicholas Herbert, David Simpson, William D. Spence, and William Ion. 2005. A preliminary investigation into the development of 3-D printing of prosthetic sockets. Journal of Rehabilitation Research and Development 42, 2 (March 2005), 141--146. https://doi.org/10.1682/jrrd.2004.08.0134
[5]
Mohd. Javaid, Abid Haleem, and Lalit Kumar. 2019. Current status and applications of 3D scanning in dentistry. Clinical Epidemiology and Global Health 7, 2 (2019), 228--233. https://doi.org/10.1016/j.cegh.2018.07.005
[6]
Elise Lachat, Tania Landes, and Pierre Grussenmeyer. 2017. Performance Investigation Of A Handheld 3d Scannerto Define Good Practices For Small Artefact 3d Modeling. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (2017), 427--434. https://doi.org/10.5194/isprs-archives-XLII-2-W5-427-2017
[7]
Chitresh Nayak. 2014. Customised prosthetic socket fabrication using 3D scanning and printing. (2014). Kautilya Institute of Technology and Engineering and School of Management.
[8]
Kim-Thanh Nguyen, Lahouari Benabou, and Samer Alfayad. 2018. Systematic Review of Prosthetic Socket Fabrication Using 3D Printing. In Proceedings of the 2018 4th International Conference on Mechatronics and Robotics Engineering (Valenciennes, France) (ICMRE 2018). Association for Computing Machinery, New York, NY, USA, 137--141. https://doi.org/10.1145/3191477.3191506
[9]
M.E. Riechmann, M. Pappas, T. Findley, S. Jain, and J. Hodgins. 1991. Computer-aided design and computer-aided manufacturing of below-knee prosthetics. Proceedings of the 1991 IEEE Seventeenth Annual Northeast Bioengineering Conference (1991). https://doi.org/10.1109/NEBC.1991.154625
[10]
Joan E. Sanders, Michael R. Severance, David L. Swartzendruber, Katheryn J. Allyn, and Marcia A. Ciol. 2013. Influence of prior activity on residual limb volume and shape measured using plaster casting: Results from individuals with transtibial limb loss. Journal of Rehabilitation Research and Development 50, 7 (2013), 1007--1016. https://doi.org/10.1682/jrrd.2012.10.0195
[11]
Douglas G. Smith and Ernest M. Burgess. 2001. The use of CAD/CAM technology in prosthetics and orthotics - Current clinical models and a view to the future. Journal of Rehabilitation Research and Development 38, 3 (May 2001), 327--334.
[12]
Hugh D. Stewart, Alan R. Innes, and Frank D. Burke. 1984. Functional cast-bracing for Colles' fractures. A comparison between cast-bracing and conventional plaster casts. The Journal of Bone and Joint Surgery. British volume 66-B, 5 (1984), 749--753. https://doi.org/10.1302/0301-620x.66b5.6389558

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  • (2023)InfoPrintProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109337:3(1-29)Online publication date: 27-Sep-2023

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PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare
May 2020
446 pages
ISBN:9781450375320
DOI:10.1145/3421937
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • EAI: The European Alliance for Innovation

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Association for Computing Machinery

New York, NY, United States

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Published: 02 February 2021

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Author Tags

  1. 3D printing
  2. 3D scanning
  3. computer-aided design
  4. prosthesis fabrication
  5. user-centered design

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  • Refereed limited

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PervasiveHealth '20

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PervasiveHealth '20 Paper Acceptance Rate 55 of 116 submissions, 47%;
Overall Acceptance Rate 55 of 116 submissions, 47%

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  • (2023)InfoPrintProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109337:3(1-29)Online publication date: 27-Sep-2023

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