Skip to main content
Springer Nature Link
Log in

Maxillary Sinus 3D Segmentation and Reconstruction from Cone Beam CT Data Sets

  • Original Article
  • Published:
International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose Segmentation of the maxillary sinuses for three-dimensional (3D) reconstruction, visualization and volumetry is sought using an automated algorithm applied to cone beam computed tomographic (CBCT) data sets.

Materials and Methods Cone beam computed tomography (CBCT) data sets of three subjects aged 9, 17, and 27 were used in 3D segmentation and reconstruction. The maxillary sinuses were obtained by propagation from one start point in the right sinus and one start point in the left sinus to the whole regions of both sinuses. The procedure was based on voxel intensity distributions and common anatomic structures, specifically each middle meatus of the nasal cavity. A program was written in C++ and VTK languages to demonstrate the surface topological shapes of the maxillary sinuses.

Results The developed segmentation algorithm separated maxillary sinuses successfully permitting accurate comparisons. It was robust and efficient. 3D morphological features of the maxillary sinuses were observed from three human subjects.

Conclusions Automated segmentation of maxillary sinuses from CBCT data sets is feasible using the proposed method. This tool might be useful for visualization, pathological diagnosis, and treatment planning of maxillary sinus disorders.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Abbreviations

CBCT:

Cone beam computed tomography

3D:

Three-dimensional

2D:

Two dimensional

mm:

Millimeter

References

  1. Kawarai Y, Fukushima K, Ogawa T, Nishizaki K, Gunduz M, Fujimoto M, Masuda Y (1999) Volume quantification of healthy paranasal cavity by three-dimensional CT imaging. Acta Otolaryngol (Stockh) Suppl 540:45–49

    Article  CAS  Google Scholar 

  2. Sirikci A, Bayazit Y, Gumüsburun E, Bayram M, Kanlikana M (2001) A new approach to the classification of maxillary sinus hypoplasia with relevant clinical implications. Surg Radiol Anat 22:243–347

    Article  Google Scholar 

  3. Erdem T, Aktas D, Erdem G, Miman MC, Ozturan O. (2002) Maxillary sinus hypoplasia. Rhinology 40:150–153

    PubMed  Google Scholar 

  4. Farman AG. (2002) Pathologic conditions of the maxillary sinus. Panoramic Imaging News2(3):1–6

    Google Scholar 

  5. Nishimura TD, Taki M, Tsubamoto NE, Shigehara N (2005) Variation in maxillary sinus anatomy among platyrrhine monkeys. J Hum Evol 49:370–389

    Article  PubMed  Google Scholar 

  6. Sivash E, Sirikci A, Bayazit Y, Gumüsburun E, Erbagci H, Bayram M, Kanlykama M (2002) Anatomic variations of the paranasal sinus area in pediatric patients with chronic sinusitis. Surg Radiol Anat 24:399–404

    Google Scholar 

  7. Duker J, Fabinger A (1978) Evaluation of the basal parts of the maxillary sinus by means of panoramic tomography. Dtsch Zahnarztl Z 33:823–826

    PubMed  CAS  Google Scholar 

  8. Nortjé CJ, Farman AG, Joubert JJ de V (1979) Pathological conditions involving the maxillary sinus: their appearances on panoramic dentalradiographs. Brit J Oral Surg 17:27–32

    Article  Google Scholar 

  9. Ohba T, Ogawa Y, Shinohara Y, Hiromatsu T, Uchida A, Toyoda Y (1994) Limitations of panoramic radiology in the detection of bone effects in the posterior wall of the maxillary sinus. Dentomaxillofac Radiol 23:149–153

    PubMed  CAS  Google Scholar 

  10. Epstein JP, Waisglass M, Bhimji S, Le N, Stevenson-Moore P (1996) A comparison of computed tomography and panoramic radiography in assessing malignancy of the maxillary antrum. Eur J Cancer Oral Oncol 32B:191–201

    Article  CAS  Google Scholar 

  11. Savolainen S, Eskelin M, Jousimies-Somer H, Ylikoski J (1997) Radiological findings in the maxillary sinuses of symptomless young men. Acta Otolaryngol Suppl 529:153–157

    Article  PubMed  CAS  Google Scholar 

  12. Koscielny S (1999) The paranasal sinuses as metastatic site of renal cell carcinoma. Larungorhinootologie 78:441–444

    CAS  Google Scholar 

  13. Barghouth G, Prior J, Lepori D, Duvoisin B, Schnyder P, Gudinchet F (2002) Paranasal sinuses in children: size evaluation of maxillary sphenoid, and frontal sinuses by magnetic resonance imaging and proposal of volume index percentile curve. Eur Radiol 12:1451–1458

    Article  PubMed  CAS  Google Scholar 

  14. Sánchez Fernández JM, Anta Escuredo JA, Sánchez Del Rey A and Santaolalla Montoya F (2000) Morphometric study of the paranasal sinuses in normal and pathological conditions. Acta Otolaryngol 120:273–278

    Article  PubMed  Google Scholar 

  15. Toida N (1937) Study of nasal cavity in Chinese. J Med Mantura 27:743–752

    Google Scholar 

  16. Anagnostopoulou S, Vesieratos D, Spyropoulos N (1991) Classification of human maxillary sinuses according to their geometric features. Anat Anz 173:121–30

    PubMed  CAS  Google Scholar 

  17. Moriguchi S (1989) Measurement of normal maxillary sinus. Stomato-pharyngol 38:1322

    Google Scholar 

  18. Kim H-J, Yoon H-R, Kim K-D, Kang M-K, Kwak H-H, Park H-D, Han S-H, Park C-S (2002) Personal-computer-based three-dimensional reconstruction and simulation of maxillary sinus. Surgical and Radiologic Anat 24:392–398

    Google Scholar 

  19. Jun B-C, Song S-W, Park C-S, Lee D-H, Cho K-J (2005) The analysis of maxillary sinus aeration according to aging process; volume assessment by 3-dimensional reconstruction by high-resolution CT scanning. Otolaryngol Head Neck Surg 132:429–434

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Vision and Image Processing Laboratory, Department of Electrical Engineering, University of Louisville, Louisville, KY, 40292, USA

    Hongjian Shi

  2. Division of Radiology and Imaging Science, Department of Surgical and Hospital Dentistry, University of Louisville, 501 South Preston Street, Louisville, KY, 40292, USA

    William C. Scarfe & Allan G. Farman

Authors
  1. Hongjian Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. William C. Scarfe
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Allan G. Farman
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Allan G. Farman.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shi, H., Scarfe, W.C. & Farman, A.G. Maxillary Sinus 3D Segmentation and Reconstruction from Cone Beam CT Data Sets. Int J CARS 1, 83–89 (2006). https://doi.org/10.1007/s11548-006-0041-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11548-006-0041-9

Keywords