Skip to main content

Advertisement

Log in

Comparison of two- and three-dimensional filtering methods to improve image quality in multiplanar reconstruction of cone-beam computed tomography

  • Technical Report
  • Published:
Oral Radiology Aims and scope Submit manuscript

Abstract

Objectives

Two- and three-dimensional (2D and 3D, respectively) filtering methods were examined to improve the accuracy of bone morphology depicted in dental cone-beam computed tomography (CBCT) images. An attempt to improve multiplanar reconstruction (MPR) image quality was carried out by reducing the image noise.

Methods

CBCT examinations were performed with the following principal exposure parameters: I-mode, FOV 10 cm in diameter, 120 kV, 15 mA, 0.2 mm slice thickness, and exposure time of 10 s. 2D and 3D filtering procedures for averaging, median smoothing, and Gaussian smoothing were applied for improvement of MPR images. For comparison, 2D and 3D Laplacian sharpening for images preprocessed by Gaussian sharpening was also tested.

Results

MPR images at the midsagittal plane on the maxilla are presented. Three smoothing filters yielded improvements in slightly different ways. The Gaussian filter clearly showed moderate changes. Small but obvious differences were observed between 2D and 3D filtering. When we focused on the depiction of bone contours, the effects of these noise reduction filters seemed to be minimal in morphological bone depiction. The Laplacian filter was useful for sharpening and emphasized noise in the resulting images, in contrast to those processed by smoothing filters.

Conclusions

Various smoothing filtering methods reduced the noise on MPR images of CBCT and also functioned differently between 2D and 3D filtering matrices.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Baba R, Konno Y, Ueda K, Ikeda SR. Comparison of flat-panel detector and image-intensifier detector for cone-beam CT. Comput Med Imaging Graph. 2002;26:153–8.

    Article  PubMed  Google Scholar 

  2. Araki K, Maki K, Seki K, Sakamaki K, Harata Y, Sakaino R, et al. Characteristics of a newly developed dentomaxillofacial X-ray cone beam CT scanner (CB MercuRay): system configuration and physical properties. Dentomaxillofac Radiol. 2004;33:51–9.

    Article  PubMed  Google Scholar 

  3. Loubele M, Maes F, Schutyser F, Marchal G, Jacobs R, Suetens P. Assessment of bone segmentation quality of cone-beam CT versus multislice spiral CT: a pilot study. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2006;102:225–34.

    Article  PubMed  Google Scholar 

  4. Arnheiter C, Scarfe WC, Farman AG. Trends in maxillofacial cone-beam computed tomography usage. Oral Radiol. 2006;22:80–5.

    Article  Google Scholar 

  5. Shi H, Scarfe WC, Farman AG. Three-dimensional reconstruction of individual cervical vertebrae from cone-beam computed-tomography images. Am J Orthod Dentofacial Orthop. 2007;131:426–32.

    Article  PubMed  Google Scholar 

  6. Naitoh M, Hirukawa A, Katsumata A, Saburi K, Okumura S, Ariji E. Imaging artifact and exposure conditions in limited-volume cone-beam computed tomography: comparison between an image intensifier system and a flat panel detector. Oral Radiol. 2006;22:69–74.

    Article  Google Scholar 

  7. Shi H, Scarfe WC, Farman AG. Maxillary sinus 3D segmentation and reconstruction from cone beam CT data sets. Int J Comput Assist Radiol Surg. 2006;1:83–9.

    Article  Google Scholar 

  8. Shi H, Scarfe WC, Farman AG. Upper airway segmentation and dimensions estimation from cone-beam CT image datasets. Int J Comput Assist Radiol Surg. 2006;1:177–86.

    Article  Google Scholar 

  9. Yamashina A, Tanimoto K, Sutthiprapaporn P, Hayakawa Y. The reliability of computed tomography (CT) values and dimensional measurements of the oropharyngeal region using cone beam CT: comparison with multidetector CT. Dentomaxillofac Radiol. 2008;37:245–51.

    Article  PubMed  Google Scholar 

  10. Yamashina A, Tanimoto K, Ohtsuka M, Nagasaki T, Sutthiprapaporn P, Iida Y, et al. A morphological comparison of the piriform sinuses in head-on and head-rotated views of seated subjects using cone-beam computed tomography. Oral Radiol. 2008;24:64–70.

    Article  Google Scholar 

  11. Sutthiprapaporn P, Tanimoto K, Ohtsuka M, Nagasaki T, Konishi M, Iida Y, et al. Improved inspection of the lateral pharyngeal recess using cone-beam computed tomography in the upright position. Oral Radiol. 2008;24:71–5.

    Article  Google Scholar 

  12. Analoui M. Radiographic digital image enhancement. Part II: transform domain techniques. Dentomaxillofac Radiol. 2001;30:65–77.

    Article  PubMed  Google Scholar 

  13. Rosenfeld A, Kak AC. Enhancement. In: Digital picture processing, vol. 1, 2nd ed. New York: Academic Press; 1982. pp. 237–64.

  14. Kubo T, Lin PJP, Stiller W, Takahashi M, Kauczor HU, Ohno Y, et al. Radiation dose reduction in chest CT: a review. Am J Roentgenol. 2008;190:335–43.

    Article  Google Scholar 

  15. Kubo T, Nishino M, Kino A, Yoshimura N, Lin PJ, Takahashi M, et al. 3-Dimensional adaptive raw-data filter: evaluation in low dose chest multidetector-row computed tomography. J Comput Assist Tomogr. 2006;30:933–8.

    Article  PubMed  Google Scholar 

  16. Kalra MK, Wittram C, Maher MM, Sharma A, Avinash GB, Karau K, et al. Can noise reduction filters improve low-radiation-dose chest CT images? Pilot study. Radiology. 2003;228:257–64.

    Article  PubMed  Google Scholar 

  17. Yajima A, Otonari-Yamamoto M, Sano T, Hayakawa Y, Otonari T, Tanabe K, et al. Cone-beam CT (CB Throne) applied to dentomaxillofacial region. Bull Tokyo Dent Coll. 2006;47:133–41.

    Article  PubMed  Google Scholar 

  18. Tanabe K, Nishikawa K, Yajima A, Mizuta S, Sano T, Kousuge Y, et al. Suitable exposure conditions for CB throne: new model cone beam computed tomography unit for dental use (in Japanese). Shikwa Gakuho. 2008;108:104–9.

    Google Scholar 

  19. Ratib O, Rosset A. Open-source software in medical imaging: development of OsiriX. Int J Comput Assist Radiol Surg. 2006;1:187–96.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yoshihiko Hayakawa.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sagawa, M., Miyoseta, Y., Hayakawa, Y. et al. Comparison of two- and three-dimensional filtering methods to improve image quality in multiplanar reconstruction of cone-beam computed tomography. Oral Radiol 25, 154–158 (2009). https://doi.org/10.1007/s11282-009-0026-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11282-009-0026-9

Keywords

Navigation