Skip to main content
Log in

Skeletal pattern extraction of bone trabeculae using mathematical morphology

  • Original Articles
  • Published:
Oral Radiology Aims and scope Submit manuscript

Abstract

Studies of morphology in extracting skeletal paterns of spiculae in mammograms served as a theoretical framework. Using studies of morphology in extraction of skeletal patterns of spiculae in mammograms as a theoretical framework, we applied a morphological filter (a combination of a skeleton operation and a single structuring element) to the extraction of skeletal patterns of bone trabeculae on computed radiographic (CR) images. Then, the comparison of the original images with the extracted skeletal patterns and the relationship between the sequence number(n) of the operation and the extracted skeletal patterns was reviewed. The comparison showed that skeletal patterns of the original image were extracted as binary images when using a morphological filter, and that, when n was small (n=0 or 1), skeletal patterns of both fine and wider bone trabeculae were extracted. Furthermore, with an increase in n, skeletal patterns of fine bone were eliminated, and only wider skeletal patterns were extracted selectively. These findings suggest that development of a suitable morphological filter to extract the skeletal patterns of bone trabeculae may be an effective supplement for computer aided diagnosis of medical images (CADM) in the support of adequate diagnosis of bone diseases.

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.

Similar content being viewed by others

References

  1. Natori, H.: Point of computer diagnosis of X-ray images.Computer aided diagnosis of medical X-ray images. pp. 42–48, 1994, Toriwaki, J. Tateno, K. and Numa, T., Springer-Verlag, Tokyo (in Japanese)

    Google Scholar 

  2. Ito A., and Ohki M.: Texture analysis.The Bone 10: 159–163, 1996 (in Japnese)

    Google Scholar 

  3. Kashima I., Kanno M., and Ohoguro T.: Bone trabecular pattern analysis in Down,s syndrome using computed panoramic tomography with a laser scan system.Oral Surg. 65: 336–337, 1988

    Article  Google Scholar 

  4. Kashima I., Bando S., and Kanishi S.: Bone trabecular pattern analysis in Down,s syndrome with the use of computed panoramic radiography. Part II Visual pattern analysis with frequency and gradational enhancement.Oral Surg Oral Med Oral Pathol 70: 360–341 1990

    Article  PubMed  Google Scholar 

  5. Kawahara E., and Sakurai T.: Spatial frequency components of normal radiographic anatomical features on intraoral computed radiography.Oral Radiol. 11: 87–96, 1995

    Article  Google Scholar 

  6. Kashima I., Gratt B.M., and White S.C.: Power spectrum method used for comparing film and xeroradiography.Dentomaxillofacial Radiology 14: 25–30, 1985

    Google Scholar 

  7. Ogawa K.: Image analysis I-Fractal dimension and trabecular patterns.The Bone 10: 61–65, 1966 (in Japanese)

    Google Scholar 

  8. Durand E.P., and Ruegsegger P.: Cancerous bone structure: analysis of high-resolution CT images with run-length method.J. Comut. Assist. Tomogr. 15: 133–139, 1991

    Article  Google Scholar 

  9. Kashima, I., Kumasaka S., and Matsuki T.: Skeletal characteristic extraction of bone structure using mathematical morphology.The Bone 10: 67–75, 1996 (in Japanese).

    Google Scholar 

  10. Serra J.:Image analysis and mathematical morphology. pp. 1–610, 1982 Jovanovich B.H., Academic Press, Tokyo, London

    Google Scholar 

  11. Serra J.:Image analysis and mathematical morphology. Two theoretical advances. pp. 1–411, 1988, Jovanovich B.H., Academic Press, Tokyo, London

    Google Scholar 

  12. Haralick M.R., Stanley R.S., and Zhuang X: Image analysis using mathematical morphology.IEEE Transactions on Pattern Analysis and Machine Intelligence 9: 532–550, 1987

    Article  Google Scholar 

  13. Kumasaka, S., and Kashima I.: Initial investigationon mathematical morphology for the digital extraction of the skeletal characteristics of trabecular bone.Dentomaxillofacial Radiology 26: 161–168, 1957

    Article  Google Scholar 

  14. Jin H.R., Matumoto K., and Kobatake H.: Automatic diagnosis of breast cancer by cancer structure line analysis and mathematical morphology.Radiology 11: 319, 1990

    Google Scholar 

  15. Kobatake H., Jin H. R., Yoshinaga Y., and Nawano S.: Computer diagnosis of breast cancer by mammogram processing.Proceedings of the International Symposium on Computer Assisted Radiology in Berlin. pp. 624–629, 1993, Lemke H. E., Jaffe C. E., and Vannier M. W., Springer, Berlin

    Google Scholar 

  16. Yoshinaga Y., and Kobatake H.: Spiculae detection method by morphological skeleton processing.Medical Imaging Technology 12: 209–215, 1994 (in Japanese)

    Google Scholar 

  17. Minabe M., Tamura T., Kodama T., Sugaya A., Kogo T., Tomomatsu E., Saito Y., Kashima I., and Hori T.: Imaging technologic study of periodontal disease: Effect of scanning aperture size and x-ray projection angle on spectrum.Journal of the Japanese Association of Periodontology 27: 837–845, 1985 (in Japanese)

    Google Scholar 

  18. Takashi H.: Quantitative and morphological studies on the bones by mathematical morphology.The Shikwa Gakuho 87: 156–181, 1987: (in Japanese).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kumasaka, S., Matsuki, T. & Kashima, I. Skeletal pattern extraction of bone trabeculae using mathematical morphology. Oral Radiol. 13, 35–43 (1997). https://doi.org/10.1007/BF02489641

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02489641

Key Words

Navigation