Skip to main content

Advertisement

SpringerLink
Log in

Reliability and accuracy of automatic segmentation of mandibular 3D models on linear measurements

  • Original Article
  • Published:
Clinical Oral Investigations Aims and scope Submit manuscript

Abstract

Objective

Evaluate if automatic segmentation of mandibular three-dimensional (3D) models is reliable and accurate.

Materials and methods

Eight dry mandibles with eight silica markers were scanned in the i-CAT Classic device (Imaging Sciences International). Automatic segmentation was performed using nine standard preset thresholds in the Dolphin software (Dolphin Imaging & Management Solutions). Three observers individually made twice eight linear measurements on the mandibular 3D models. Another observer made physical measurements, twice as well, on the dry mandibles. Reliability and accuracy were evaluated with intraclass correlation coefficients (ICCs), Dahlberg’s formula, Bland-Altman analyses, and changing bias with regression analyses.

Results

Inter-observer and intra-observer ICCs and Dahlberg’s error were ≥ 0.75 and ≤ 1.0 mm, respectively, for all measurements. Inter-observer agreement between mandibular 3D models and physical measurements ranged from −0.37 to 0.91 mm.

Conclusions

Linear measurements made on mandibular 3D models obtained using standard preset thresholds are reliable and accurate. However, additional studies are necessary to confirm this hypothesis for clinical applications.

Clinical relevance

Since the 3D models are useful for diagnostics and surgical planning, it is necessary to determinate whether the linear measurements made on 3D models obtained by automatic segmentation are sufficiently reliable and accurate.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Scarfe WC, Farman AG, Sukovic P (2006) Clinical applications of cone-beam computed tomography in dental practice. J Can Dent Assoc 72:75–80

    PubMed  Google Scholar 

  2. Engelbrecht WP, Fourie Z, Damstra J, Gerrits PO, Ren Y (2013) The influence of the segmentation process on 3D measurements from cone beam computed tomography-derived surface models. Clin Oral Investig 17:1919–1927

    Article  Google Scholar 

  3. Wang L, Chen KC, Gao Y, Shi F, Liao S, Li G, Shen SG, Yan J, Lee PK, Chow B, Liu NX, Xia JJ, Shen D (2014) Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization. Med Phys 41:043503

    Article  Google Scholar 

  4. Abdolali F, Zoroofi RA, Otake Y, Sato Y (2016) Automatic segmentation of maxillofacial cysts in cone beam CT images. Comput Biol Med 72:108–119

    Article  Google Scholar 

  5. Abdolali F, Zoroofi RA, Abdolali M, Yokota F, Otake Y, Sato Y (2017) Automatic segmentation of mandibular canal in cone beam CT images using conditional statistical shape model and fast marching. Int J Comput Assist Radiol Surg 12:581–593

    Article  Google Scholar 

  6. Poleti ML, Fernandes TMF, Pagin O, Moretti MR, Rubira-Bullen IRF (2016) Analysis of linear measurements on 3D surface models using CBCT data segmentation obtained by automatic standard pre-set thresholds in two segmentation software programs: an in vitro study. Clin Oral Investig 20:179–185

    Article  Google Scholar 

  7. Xi T, Schreurs R, Heerink WJ, Bergé SJ, Maal TJ (2014) A novel region-growing based semi-automatic segmentation protocol for three-dimensional condylar reconstruction using cone beam computed tomography (CBCT). PLoS One 9:e111126

    Article  Google Scholar 

  8. Cronin P, Rawson JV (2016) Review of research reporting guidelines for radiology researchers. Acad Radiol 23:537–558

    Article  Google Scholar 

  9. Kottner J, Audigé L, Brorson S, Donner A, Gajewski BJ, Hróbjartsson A, Roberts C, Shoukri M, Streiner DL (2011) Guidelines for reporting reliability and agreement studies (GRRAS) were proposed. J Clin Epidemiol 64:96–106

    Article  Google Scholar 

  10. Lopes PM, Moreira CR, Perrella A, Antunes JL, Cavalcanti MG (2008) 3-D volume rendering maxillofacial analysis of angular measurements by multislice CT. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 105:224–230

    Article  Google Scholar 

  11. Fernandes TMF, Julie Adamczyk J, Poleti ML et al (2015) Comparison between 3D volumetric rendering and multiplanar slices on the reliability of linear measurements on CBCT images: an in vitro study. J Appl Oral Sci 23:56–63

    Article  Google Scholar 

  12. Koretsi V, Kirschbauer C, Proff P, Kirschneck C (2019) Reliability and intra-examiner agreement of orthodontic model analysis with a digital caliper on plaster and printed dental models. Clin Oral Investig 23:3387–3396

    Article  Google Scholar 

  13. Koretsi V, Tingelhoff L, Proff P, Kirschneck C (2018) Intra-observer reliability and agreement of manual and digital orthodontic model analysis. Eur J Orthod 40:52–57

    Article  Google Scholar 

  14. Damstra J, Fourie Z, Huddleston Slater JJ, Ren Y (2011) Reliability and the smallest detectable difference of measurements on 3-dimensional cone-beam computed tomography images. Am J Orthod Dentofac Orthop 140:e107–e114

    Article  Google Scholar 

  15. Kapila S, Conley RS, Harrell WE Jr (2011) The current status of cone beam computed tomography imaging in orthodontics. Dentomaxillofac Radiol 40:24–34

    Article  Google Scholar 

  16. Periago DR, Scarfe WC, Moshiri M, Scheetz JP, Silveira AM, Farman AG (2008) Linear accuracy and reliability of cone beam CT derived 3-dimensional images constructed using an orthodontic volumetric rendering program. Angle Orthod 78:387–395

    Article  Google Scholar 

  17. Baumgaertel S, Palomo JM, Palomo L, Hans MG (2009) Reliability and accuracy of cone-beam computed tomography dental measurements. Am J Orthod Dentofac Orthop 136:19–25

    Article  Google Scholar 

  18. Hassan B, van der Stelt P, Sanderink G (2009) Accuracy of three-dimensional measurements obtained from cone beam computed tomography surface-rendered images for cephalometric analysis: influence of patient scanning position. Eur J Orthod 31:129–134

    Article  Google Scholar 

  19. Berco M, Rigali PH Jr, Miner RM, DeLuca S, Anderson NK, Will LA (2009) Accuracy and reliability of linear cephalometric measurements from cone-beam computed tomography scans of a dry human skull. Am J Orthod Dentofac Orthop 136:17e1–17e9

    Google Scholar 

  20. Choi JY, Choi JH, Kim NK, Kim Y, Lee JK, Kim MK, Leea JH, Kima MJ (2002) Analysis of errors in medical rapid prototyping models. Int J Oral Maxillofac Surg 31:23–32

    Article  Google Scholar 

  21. Gribel BF, Gribel MN, Frazao DC, McNamara JA Jr, Manzi FR (2011) Accuracy and reliability of craniometric measurements on lateral cephalometry and 3D measurements on CBCT scans. Angle Orthod 81:26–35

    Article  Google Scholar 

  22. Damstra J, Fourie Z, Huddleston Slater JJ, Ren Y (2010) Accuracy of linear measurements from cone-beam computed tomography-derived surface models of different voxel sizes. Am J Orthod Dentofac Orthop 137:16 e1–16 e6

    Google Scholar 

  23. Brown AA, Scarfe WC, Scheetz JP, Silveira AM, Farman AG (2009) Linear accuracy of cone beam CT derived 3D images. Angle Orthod 79:150–157

    Article  Google Scholar 

  24. Ballrick JW, Palomo JM, Ruch E, Amberman BD, Hans MG (2008) Image distortion and spatial resolution of a commercially available cone-beam computed tomography machine. Am J Orthod Dentofac Orthop 134:573–582

    Article  Google Scholar 

  25. Mischkowski RA, Pulsfort R, Ritter L, Neugebauer J, Brochhagen HG, Keeve E, Zölle JE (2007) Geometric accuracy of a newly developed cone-beam device for maxillofacial imaging. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 104:551–559

    Article  Google Scholar 

  26. Lagravere MO, Carey J, Toogood RW, Major PW (2008) Three-dimensional accuracy of measurements made with software on cone-beam computed tomography images. Am J Orthod Dentofac Orthop 134:112–116

    Article  Google Scholar 

  27. Nouri M, Hamidiaval S, Akbarzadeh Baghban A, Basafa M, Fahim M (2015) Efficacy of a newly designed cephalometric analysis software for McNamara analysis in comparison with Dolphin software. J Dent 12:60–69

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Federal Institute of Paraná, Rua João XXIII 600, Londrina, Paraná, 86060-370, Brazil

    Marcelo Lupion Poleti

  2. Department of Orthodontics, University of Northern Paraná, Rua Marselha 183, Londrina, Paraná, 86041-140, Brazil

    Thais Maria Freire Fernandes & Thiago Vinícius Sehn Slaviero

  3. University of Northern Paraná, Rua Marselha, 183, Londrina, Paraná, 86041-140, Brazil

    Marcela Rodrigues Moretti & Lucas Ramos Puzinato

  4. Department of Stomatology, Bauru School of Dentistry, University of São Paulo, Alameda Dr. Octávio Pinheiro Brisolla, 9-75, Bauru, São Paulo, 17012-901, Brazil

    Izabel Regina Fischer Rubira-Bullen

Authors
  1. Marcelo Lupion Poleti
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thais Maria Freire Fernandes
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marcela Rodrigues Moretti
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lucas Ramos Puzinato
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Thiago Vinícius Sehn Slaviero
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Izabel Regina Fischer Rubira-Bullen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marcelo Lupion Poleti.

Ethics declarations

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

For this type of study, formal consent is not required.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

(DOCX 1118 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Poleti, M.L., Fernandes, T.M.F., Moretti, M.R. et al. Reliability and accuracy of automatic segmentation of mandibular 3D models on linear measurements. Clin Oral Invest 25, 6335–6346 (2021). https://doi.org/10.1007/s00784-021-03934-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00784-021-03934-4

Keywords

Search

Navigation