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Development of a Customized Helmet Design System for Patients with Plagiocephaly

사두증 환자를 위한 맞춤형 헬멧 몰드 디자인 시스템 개발

  • Kang, Yeonghoon (Dept. of Textiles, Merchandising and Fashion Design, Seoul National University) ;
  • Park, Hyeryeon (Dept. of Textiles, Merchandising and Fashion Design, Seoul National University) ;
  • Kim, Sungmin (Dept. of Textiles, Merchandising and Fashion Design, Seoul National University)
  • Received : 2022.06.30
  • Accepted : 2022.08.01
  • Published : 2022.08.30

Abstract

This study developed a three-dimensional helmet mold design software that can design helmets for treating the infant plagiocephaly (flat head syndrome) using three-dimensional head scan data. For this, the three-dimensional head data of sixth SizeKorea body measurement project as well as the data produced by a head modeling software were used to prepare the head shape data of plagiocephaly patients. A total of 14 landmarks and 10 dimensions of heads required for helmet mold shape design and plagiocephaly diagnosis were automatically measured using an anthropometric analysis software. Using the software developed in this study, plagiocephaly can be diagnosed not only visually by three-dimensional head data visualization but also quantitatively by calculating the medically defined indices such as cranial index, which measures the proportions of the head, and the cranial vault asymmetry index, which measures the asymmetry of the head. The basic shape of the helmet mold was automatically generated based on the head scan data. Additionally, it is possible to fine tune the shape of the mold to reflect individual characteristics by using a free form deformation technique. Finally, the designed helmet mold was converted into the data that can be printed on a three-dimensional printer for generating the actual prototype.

Keywords

Acknowledgement

이 논문은 2022년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임 (P0012770, 2022년 산업혁신인재성장지원사업).

References

  1. Argenta, L. (2004). Clinical classification of positional plagiocephaly. Journal of Craniofacial Surgery, 15(3), 368-372. https://doi.org/10.1097/00001665-200405000-00004
  2. Binkiewicz-Glinska, A., Mianowska, A., Sokolow, M., Renska, A., Ruckeman-Dziurdzinska, K., Bakula, S., & Kozlowska, E. (2016). Early diagnosis and treatment of children with skull deformations. The challenge of modern medicine. Developmental Period Medicine, 20(4), 289-295.
  3. Callejas Pastor, C. A., Jung, I. Y., Seo, S., Kwon, S. B., Ku, Y., & Choi, J. (2020). Two-dimensional image-based screening tool for infants with positional cranial deformities - A machine learning approach. Diagnostics, 10(7), 495. doi:10.3390/diagnostics10070495
  4. Chung, K. J., & Kim, Y. H. (2013). Diagnosis and treatment of deformational plagiocephaly. Archives of Craniofacial Surgery, 14(2), 73-80. doi:10.7181/acfs.2013.14.2.73
  5. Clarren, S. K., Smith, D. W., & Hanson, J. W. (1979). Helmet treatment for plagiocephaly and congenital muscular torticollis. The Journal of Pediatrics, 94(1), 43-46. doi:10.1016/S0022-3476(79)80347-9
  6. Flannery, A. B. K., Looman, W. S., & Kemper, K. (2012). Evidence-based care of the child with deformational plagiocephaly, part II - management. Journal of Pediatric Health Care, 26(5), 320-331. doi:10.1016/j.pedhc.2011.10.002
  7. Graham, T., Millay, K., Wang, J., Adams-Huet, B., O'briant, E., Oldham, M., & Smith, S. (2020). Significant factors in cranial remolding orthotic treatment of asymmetrical brachycephaly. Journal of clinical medicine, 9(4), 1027. doi:10.3390/jcm9041027
  8. Han, T., Song, H. K., & Lee, K. S. (2017). Classification of breast shape of women aged 11~15 using 3D body scan data. Fashion & Textile Research Journal. 19(6), 786-794. doi:10.5805/sfti.2017.19.6.786
  9. Kang, Y., & Kim, S. (2020). Development of helmet mold design system using 3D anthropometric analysis. International Journal of Clothing Science and Technology, 32(3), 446-456. doi:10.1108/IJCST-02-2019-0022
  10. Kelly, K. M., Littlefield, T. R., Pomatto, J. K., Manwaring, K. H., & Beals, S. P. (1999). Cranial growth unrestricted during treatment of deformational plagiocephaly. Pediatric Neurosurgery, 30(4), 193-199. doi:10.1159/000028794
  11. Kim, M., & Kim, S. (2018). Development of a script-based versatile three-dimensional body measurement system. International Journal of Clothing Science and Technology, 30(5), 598-609. doi:10.1108/IJCST-10-2017-0159
  12. Koo, D. S., & Lee, J. R. (2017). The development of a wrist brace using 3D scanner and 3D printer. Fashion & Textile Research Journal. 19(3), 312-319. doi:10.5805/SFTI.2017.19.6.749
  13. Kouchi, M., & Mochimaru, M. (2004). Analysis of 3D face forms for proper sizing and CAD of spectacle frames. Ergonomics, 47(14), 1499-1516. doi:10.1080/00140130412331290907
  14. Lee, W., Jeong, J., Park, J., Jeon, E., Kim, H., Jung, D., Park, S., & You, H. (2013). Analysis of the facial measurements of Korean Air Force pilots for oxygen mask design. Ergonomics, 56(9), 1451-1464. doi:10.1080/ 00140139.2013.816376
  15. Luximon, Y., Ball, R. M., & Chow, E. H. (2016). A design and evaluation tool using 3D head templates. Computer-aided design and applications, 13(2), 153-161. doi:10.1080/16864360.2015.1084188
  16. Meunier, P., Tack, D., Ricci, A., Bossi, L., & Angel, H. (2000). Helmet accommodation analysis using 3D laser scanning. Applied Ergonomics, 31(4), 361-369. doi:10.1016/S0003-6870(00)00006-5
  17. Pang, T. Y., Lo, T. S. T., Ellena, T., Mustafa, H., Babalija, J., & Subic, A. (2018). Fit, stability and comfort assessment of custom-fitted bicycle helmet inner liner designs, based on 3D anthropometric data. Applied ergonomics, 68, 240-248. doi:10.1016/j.apergo.2017.12.002
  18. Robinson, S., & Proctor, M. (2009). Diagnosis and management of deformational plagiocephaly - A review. Journal of Neurosurgery - Pediatrics, 3(4), 284-295. doi:10.3171/2009.1.PEDS08330
  19. Sederberg, T. W. & Parry, S. R. (1986). Free-form deformation of solid geometric models. Proceedings of the 13th annual conference on Computer graphics and interactive techniques, Annual Conference, United States, pp. 151-160. doi:10.1145/15922.15903
  20. Shin, J. A., & Nam, Y. (2017). Developing of grading method using 3d body measurement data of women in their thirties - Focusing on their proper body types. Fashion & Textile Research Journal. 19(6), 749-758. doi:10.5805/SFTI.2017.19.6.749
  21. Verberne, J. W. R., Worsley, P. R., & Bader, D. L. (2021). A 3D registration methodology to evaluate the goodness of fit at the individual-respiratory mask interface. Computer Methods in Biomechanics and Biomedical Engineering, 24(7), 728-739. doi:10.1080/10255842.2020.1849156
  22. Yokota, M. (2005). Head and facial anthropometry of mixed-race US Army male soldiers for military design and sizing - A pilot study. Applied Ergonomics, 36(3), 379-383. doi:10.1016/j.apergo.2005.01.009
  23. Zhang, J., Luximon, Y., Shah, P., Zhou, K., & Li, P. (2022). Customize my helmet - A novel algorithmic approach based on 3D head prediction. Computer-Aided Design, 150, 103271. doi:10.1016/j.cad.2022.103271