Calculation of the Forearm and Hand ThreeDimensional Anthropometry Based on TwoDimensional Image Feature Extraction: An Approach for Cock-up Splint Design

Document Type : RESEARCH PAPER

Authors

1 Orthopedics Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran

2 Department of Biostatistics, School of Public Health, Mashhad University of Medical Sciences, Mashhad, Iran

3 Orthopedics Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran - Bone and Joint Research Laboratory, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran

4 Orthopedics Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran - Bone and Joint Research Laboratory, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran - Department of Pharmaceutics, School of Pharmacy, Mashhad University of Medical Science, Mashhad, Iran

5 Orthopedics Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran - Bone and Joint Research Laboratory, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran - Faculty of New Sciences and Technologies, Department of Biomedical Engineering, Semnan University, Semnan, Iran

Abstract

Objectives: An alternative to both the time-consuming traditional and the expensive three-dimensional 
(3D) methods for splint design is to use two-dimensional (2D) images. The present study utilized image 
processing to achieve an automatic and practical method of anthropometry measurement to design and 
build a personalized and remote cock-up splint. This method is applicable for patients unable to 
personally attend clinic appointments.
Methods: The defined landmarks of the cock-up splint of 100 adult participants were measured manually. Each 
individual had a 2D image taken of their upper limb using a customized imaging device. The 2D image portions that 
corresponded to the manual measurements were then identified, and their sizes were retrieved in pixels using 
MATLAB software. To find equations between manual 3D measurements and 2D image processing ones, multiple 
linear regression analysis was performed on landmark variables.
Results: We were able to determine equations to estimate manual dimensions based on 2D image data. In the 
men’s group, we could predict the third finger length, forearm circumference at three levels, and the largest forearm 
circumference. In the women’s group, in addition to variables predicted for men, hand circumference at the distal 
palmar crease and first web levels, as well as arm circumference, could be predicted using the identified equations.
Conclusion: Based on the findings, 2D image processing could be an appropriate method for designing 
personalized cock-up splints.
 Level of evidence: III

Keywords

Main Subjects

References

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The Archives of Bone and Joint Surgery
Volume 12, Issue 9
September 2024
Pages 622-630

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History

  • Receive Date: 07 August 2023
  • Revise Date: 30 April 2024
  • Accept Date: 15 April 2024

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