DOI QR코드

DOI QR Code

Accuracy and precision of integumental linear dimensions in a three-dimensional facial imaging system

  • Kim, Soo-Hwan (Department of Orthodontics, School of Dentistry, Kyung Hee University) ;
  • Jung, Woo-Young (Department of Orthodontics, School of Dentistry, Kyung Hee University) ;
  • Seo, Yu-Jin (Department of Orthodontics, School of Dentistry, Kyung Hee University) ;
  • Kim, Kyung-A (Department of Orthodontics, School of Dentistry, Kyung Hee University) ;
  • Park, Ki-Ho (Department of Orthodontics, Oral Biology Research Institute, Kyung Hee University) ;
  • Park, Young-Guk (Department of Orthodontics, Oral Biology Research Institute, Kyung Hee University)
  • 투고 : 2014.08.17
  • 심사 : 2014.12.24
  • 발행 : 2015.05.25

초록

Objective: A recently developed facial scanning method uses three-dimensional (3D) surface imaging with a light-emitting diode. Such scanning enables surface data to be captured in high-resolution color and at relatively fast speeds. The purpose of this study was to evaluate the accuracy and precision of 3D images obtained using the Morpheus 3D$^{(R)}$ scanner (Morpheus Co., Seoul, Korea). Methods: The sample comprised 30 subjects aged 24.34 years (mean $29.0{\pm}2.5$ years). To test the correlation between direct and 3D image measurements, 21 landmarks were labeled on the face of each subject. Sixteen direct measurements were obtained twice using digital calipers; the same measurements were then made on two sets of 3D facial images. The mean values of measurements obtained from both methods were compared. To investigate the precision, a comparison was made between two sets of measurements taken with each method. Results: When comparing the variables from both methods, five of the 16 possible anthropometric variables were found to be significantly different. However, in 12 of the 16 cases, the mean difference was under 1 mm. The average value of the differences for all variables was 0.75 mm. Precision was high in both methods, with error magnitudes under 0.5 mm. Conclusions: 3D scanning images have high levels of precision and fairly good congruence with traditional anthropometry methods, with mean differences of less than 1 mm. 3D surface imaging using the Morpheus 3D$^{(R)}$ scanner is therefore a clinically acceptable method of recording facial integumental data.

키워드

참고문헌

  1. Ayoub AF, Xiao Y, Khambay B, Siebert JP, Hadley D. Towards building a photo-realistic virtual human face for craniomaxillofacial diagnosis and treatment planning. Int J Oral Maxillofac Surg 2007;36:423-8. https://doi.org/10.1016/j.ijom.2007.02.003
  2. Kau CH, Richmond S, Incrapera A, English J, Xia JJ. Three-dimensional surface acquisition systems for the study of facial morphology and their application to maxillofacial surgery. Int J Med Robot 2007;3:97-110. https://doi.org/10.1002/rcs.141
  3. Aldridge K, Boyadjiev SA, Capone GT, DeLeon VB, Richtsmeier JT. Precision and error of threedimensional phenotypic measures acquired from 3dMD photogrammetric images. Am J Med Genet A 2005;138A:247-53. https://doi.org/10.1002/ajmg.a.30959
  4. Weinberg SM, Naidoo S, Govier DP, Martin RA, Kane AA, Marazita ML. Anthropometric precision and accuracy of digital three-dimensional photogrammetry: comparing the Genex and 3dMD imaging systems with one another and with direct anthropometry. J Craniofac Surg 2006;17:477-83. https://doi.org/10.1097/00001665-200605000-00015
  5. Faugeras O. Three-dimensional computer vision. London: MIT Press; 1993. p. 165-243.
  6. Li G, Wei J, Wang X, Wu G, Ma D, Wang B, et al. Three-dimensional facial anthropometry of unilateral cleft lip infants with a structured light scanning system. J Plast Reconstr Aesthet Surg 2013;66:1109-16. https://doi.org/10.1016/j.bjps.2013.04.007
  7. Wong JY, Oh AK, Ohta E, Hunt AT, Rogers GF, Mulliken JB, et al. Validity and reliability of craniofacial anthropometric measurement of 3D digital photogrammetric images. Cleft Palate Craniofac J 2008;45:232-9. https://doi.org/10.1597/06-175
  8. Heike CL, Cunningham ML, Hing AV, Stuhaug E, Starr JR. Picture perfect? Reliability of craniofacial anthropometry using three-dimensional digital stereophotogrammetry. Plast Reconstr Surg 2009;124:1261-72. https://doi.org/10.1097/PRS.0b013e3181b454bd
  9. Maal TJ, Plooij JM, Rangel FA, Mollemans W, Schutyser FA, Bergé SJ. The accuracy of matching threedimensional photographs with skin surfaces derived from cone-beam computed tomography. Int J Oral Maxillofac Surg 2008;37:641-6. https://doi.org/10.1016/j.ijom.2008.04.012
  10. Jayaratne YS, McGrath CP, Zwahlen RA. How accurate are the fusion of cone-beam CT and 3-D stereophotographic images? PLoS One 2012;7:e49585. https://doi.org/10.1371/journal.pone.0049585
  11. Farkas LG. Anthropometry of the head and face. New York: Raven Press; 1994. p. 20-6.
  12. Utermohle CJ, Zegura SL. Intra- and interobserver error in craniometry: a cautionary tale. Am J Phys Anthropol 1982;57:303-10. https://doi.org/10.1002/ajpa.1330570307
  13. Utermohle CJ, Zegura SL, Heathcote GM. Multiple observers, humidity, and choice of precision statistics factors influencing craniometric data quality. Am J Phys Anthropol 1983;61:85-95. https://doi.org/10.1002/ajpa.1330610109
  14. Weinberg SM, Scott NM, Neiswanger K, Brandon CA, Marazita ML. Digital three-dimensional photogrammetry: evaluation of anthropometric precision and accuracy using a Genex 3D camera system. Cleft Palate Craniofac J 2004;41:507-18. https://doi.org/10.1597/03-066.1
  15. Bailey RC, Byrnes J. A new, old method for assessing measurement error in both univariate and multivariate morphometric studies. Syst Zool 1990;39:124-30. https://doi.org/10.2307/2992450

피인용 문헌

  1. A 12-camera body scanning system based on close-range photogrammetry for precise applications vol.11, pp.1, 2015, https://doi.org/10.1080/17452759.2015.1101872
  2. Lip line changes in Class III facial asymmetry patients after orthodontic camouflage treatment, one-jaw surgery, and two-jaw surgery: A preliminary study vol.87, pp.2, 2015, https://doi.org/10.2319/033016-254.1
  3. Early Changes in Facial Profile Following Structured Filler Rhinoplasty: An Anthropometric Analysis Using a 3-Dimensional Imaging System vol.43, pp.2, 2017, https://doi.org/10.1097/dss.0000000000000972
  4. Assessment of age‐ and sex‐related changes in baggy lower eyelids using a novel objective image analysis method: Orbital gray scale analysis vol.17, pp.5, 2015, https://doi.org/10.1111/jocd.12423
  5. Evaluating the accuracy of facial models obtained from volume wrapping: 2D images on CBCT versus 3D on CBCT vol.24, pp.4, 2015, https://doi.org/10.1053/j.sodo.2018.10.008
  6. Three dimensional evaluation of soft tissue after orthognathic surgery vol.14, pp.None, 2018, https://doi.org/10.1186/s13005-018-0179-z
  7. Accuracy and Precision of Three-dimensional Imaging System of Children's Facial Soft Tissue vol.47, pp.1, 2020, https://doi.org/10.5933/jkapd.2020.47.1.17
  8. Three-Dimensional Photogrammetric Study on Age-Related Facial Characteristics in Korean Females vol.33, pp.1, 2015, https://doi.org/10.5021/ad.2021.33.1.52
  9. Standardized Three-Dimensional Lateral Distraction Test: Its Reliability to Assess Medial Canthal Tendon Laxity vol.45, pp.6, 2021, https://doi.org/10.1007/s00266-021-02440-y