The Use of 3D Body Scanner in Medicine and Psychology: A Narrative Review

  • Elisa PedroliEmail author
  • Rossella Digilio
  • Cosimo Tuena
  • Juan V. Durá-Gil
  • Franco Cernigliaro
  • Giuseppe Riva
  • Pietro Cipresso
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 253)


In this narrative review several articles that explain the application of 3D Body Scanner were analyzed. Among all published articles in the last 10 years only 14 met the inclusion criteria. There are several fields of application of this technology: Body shape and posture analysis, pediatrics, metrical analysis, and forensic medicine. The results indicate that 3D Body Scanner is a promising technology that could help clinicians and researchers to improve their work both in term of quality and time saving.


3D Body Scanner Medicine Psychology Review 



The present work was supported by the European funded project “BodyPass” – API-ecosystem for cross-sectorial exchange of 3D personal data (H2020-779780).


  1. 1.
    Choi, S., Ashdown, S.P.: 3D body scan analysis of dimensional change in lower body measurements for active body positions. Text. Res. J. 81(1), 81–93 (2011)CrossRefGoogle Scholar
  2. 2.
    Liu, X., et al.: Estimation of human body volume (BV) from anthropometric measurements based on three-dimensional (3D) scan technique. Aesthet. Plastic Surg. 41(4), 971–978 (2017)CrossRefGoogle Scholar
  3. 3.
    Werghi, N.: Segmentation and modeling of full human body shape from 3-D scan data: a survey. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 37(6), 1122–1136 (2007)CrossRefGoogle Scholar
  4. 4.
    Apeagyei, P.R.: Application of 3D body scanning technology to human measurement for clothing Fit. Change 4(7), 58–68 (2010)Google Scholar
  5. 5.
    Kilteni, K., Groten, R., Slater, M.: The sense of embodiment in virtual reality. Presence: Teleoper. Virtual Env. 21(4), 373–387 (2012)CrossRefGoogle Scholar
  6. 6.
    Treleaven, P., Wells, J.: 3D body scanning and healthcare applications. Computer. 40(7), 28–34 (2007)CrossRefGoogle Scholar
  7. 7.
    Wells, J.C., Treleaven, P., Cole, T.J.: BMI compared with 3-dimensional body shape: the UK National Sizing Survey. Am. J. Clin. Nutrition 85(2), 419–425 (2007)CrossRefGoogle Scholar
  8. 8.
    Daniell, N., Olds, T., Tomkinson, G.: Volumetric differences in body shape among adults with differing body mass index values: an analysis using three-dimensional body scans. Am. J. Hum. Biol. 26(2), 156–163 (2014)CrossRefGoogle Scholar
  9. 9.
    Serino, S., et al.: Virtual reality body swapping: a tool for modifying the allocentric memory of the body. Cyberpsychol. Behav. Soc. Netw. 19(2), 127–133 (2016)CrossRefGoogle Scholar
  10. 10.
    Ashdown, S.P., Na, H.: Comparison of 3-D body scan data to quantify upper-body postural variation in older and younger women. Cloth. Tex. Res. J. 26(4), 292–307 (2008)CrossRefGoogle Scholar
  11. 11.
    Cornelissen, K.K., et al.: Body size estimation in women with anorexia nervosa and healthy controls using 3D avatars. Sci. Rep. 7(1), 15773 (2017)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Schloesser, R., et al.: Three-dimensional body scanning: a new method to estimate body surface area in neonates. Neonatology 100(3), 260–264 (2011)CrossRefGoogle Scholar
  13. 13.
    Wells, J.C., et al.: Acceptability, precision and accuracy of 3D photonic scanning for measurement of body shape in a multi-ethnic sample of children aged 5-11 years: the SLIC study. PLoS ONE 10(4), e0124193 (2015)CrossRefGoogle Scholar
  14. 14.
    Ng, B., et al.: Clinical anthropometrics and body composition from 3D whole-body surface scans. Eur. J. Clin. Nutrition 70, 1265 (2016)CrossRefGoogle Scholar
  15. 15.
    Bretschneider, T., et al.: Validation of the body scanner as a measuring tool for a rapid quantification of body shape. Skin Res. Technol. 15(3), 364–369 (2009)CrossRefGoogle Scholar
  16. 16.
    Tomkinson, G.R., Shaw, L.G.: Quantification of the postural and technical errors in asymptomatic adults using direct 3D whole body scan measurements of standing posture. Gait Posture 37(2), 172–177 (2013)CrossRefGoogle Scholar
  17. 17.
    Lee, M.Y., et al.: A depth-sensing technique on 3D-printed compensator for total body irradiation patient measurement and treatment planning. Med. Phys. 43(11), 6137–6144 (2016)CrossRefGoogle Scholar
  18. 18.
    Kottner, S., et al.: VirtoScan - a mobile, low-cost photogrammetry setup for fast post-mortem 3D full-body documentations in x-ray computed tomography and autopsy suites. Forensic Sci. Med. Pathol. 13(1), 34–43 (2017)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Elisa Pedroli
    • 1
    Email author
  • Rossella Digilio
    • 1
  • Cosimo Tuena
    • 1
  • Juan V. Durá-Gil
    • 2
  • Franco Cernigliaro
    • 3
  • Giuseppe Riva
    • 1
    • 4
  • Pietro Cipresso
    • 1
    • 4
  1. 1.Applied Technology for Neuro-Psychology LabIRCCS Istituto Auxologico ItalianoMilanItaly
  2. 2.Instituto de Biomecánica de ValenciaUniversitat Politècnica de ValènciaValenciaSpain
  3. 3.U.O. Radiologia Ospedale San Luca IRCCS Istituto Auxologico ItalianoMilanItaly
  4. 4.Department of PsychologyCatholic UniversityMilanItaly

Personalised recommendations