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

1. Shah C, Shah J, Shaikh M, Sandhu H, Natu P. Anthropometric 
Measurement Technology Using 2D Images. InProceedings of 
Second International Conference on Sustainable Expert Systems: 
ICSES 2021- 2022 (pp. 127-142). Singapore: Springer Nature 
Singapore.
2. Mojaverrostami S, Najibi A, Mokhtari T, Malekzadeh M, 
Hassanzadeh G. The Importance and Application of 
Anthropometry in Medical Sciences and Related Industries: A 
Narrative Review. Journal of Rafsanjan University of Medical 
Sciences. 2019; 18(6):606-589.
3. Popescu D, Zapciu A, Tarba C, Laptoiu D. Fast production of 
customized three-dimensional-printed hand splints. Rapid 
Prototyping Journal. 2020; 26(1):134-144. doi:10.1108/RPJ-01-
2019-0009.
4. Blaya F, Pedro PS, Silva JL, D’Amato R, Heras ES, Juanes JA. Design 
of an Orthopedic Product by Using Additive Manufacturing 
Technology: The Arm Splint. J Med Syst. 2018; 42(3):54. doi:
10.1007/s10916-018-0909-6.
5. Boyd AS, Benjamin HJ, Asplund CA. Principles of casting and 
splinting. Am FAM Physician. 2009; 79(1):16-22.
6. Lin Y-L, Wang M-JJ. Automated body feature extraction from 2D 
images. Expert Systems with Applications. 2011; 38(3):2585-91.
7. Halanski M, Noonan KJ. Cast and splint immobilization: 
complications. J Am Acad Orthop Surg. 2008;16(1):30-40. doi: 
10.5435/00124635-200801000-00005.
8. Boyd AS, Benjamin HJ, Asplund CA. Splints and casts: indications 
and methods. Am FAM Physician.2009; 80(5):491-9. 
9. Thorndike A, Murphy EF, Staros A. Engineering Applied to 
Orthopedic Bracing. Orthop and Prosth Appl J. 1956; 10(4):55-71.
10. Meunier P, Yin S. Performance of a 2D image-based anthropometric measurement and clothing sizing system. Appl 
Ergon.2000; 31(5):445-51. doi: 10.1016/s0003-6870(00)00023-
5.
11. Rivlin M, Sedigh A, Kachooei AR, et al. Apparatus for anatomic 
three dimensional scanning and automated three dimensional 
cast and splint design. United States patent application US 
17/914,948. 2023.
12. Sedigh A, Kachooei AR, Vaccaro AR, Rivlin M. Contactless remote 
3D splinting during COVID-19: report of two patients. J Hand 
Surg Asian Pac Vol.2022;27(2):398-402. doi: 
10.1142/S2424835522720171.
13. Wang H, Boyd JP, Akmaev RA. On computation of Hough 
functions. Geoscientific Model Development. 2016; 9(4):1477-
148.
14. Abdi R, Shahpari O, Bagheri F, Zargarbashi R. A Method of Time 
Prediction in Epiphysiodesis for Limb Length Discrepancy Based 
On Multiplier. Arch Bone Jt Surg.2023;11 .765:)12)
doi:https://doi.org/10.22038/abjs.2023.67521.3205
15. Holzbaur KR, Murray WM, Gold GE, Delp SL. Upper limb muscle 
volumes in adult subjects. J Biomech. 2007; 40(4):742-9. doi: 
10.1016/j.jbiomech.2006.11.011.
16. Hung PC-Y, Witana CP, Goonetilleke RS. Anthropometric 
measurements from photographic images. Computing Systems. 
2004; 29(764-769):3.
17. Farzam R, Deilami M, Jalili S. Comparison of Anesthesia Results 
between Wide Awake Local Anesthesia no Tourniquet (WALANT) 
and Forearm Tourniquet Bier Block in Hand Surgeries: A 
Randomized Clinical Trial. Arch Bone Jt Surg. 2021;9(1):116 
doi:https://doi.org/10.22038/abjs.2020.49526.2487
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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