Skip to main content

Development of Advanced Image Processing Technology and Its Application to Computer Assisted Diagnosis and Surgery

  • Conference paper
Advances in Multimedia Information Processing - PCM 2004 (PCM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3331))

Included in the following conference series:

  • 923 Accesses

Abstract

This paper describes our studies on medical image processing and its medical applications. We have developed systems of computer aided diagnosis (CAD) and computer assisted surgery (CAS) in our laboratory. The important features of CAD and CAS are (1) generation of anatomical maps based on image recognition and understanding technologies, (2) automated detection of abnormal regions, (3) guidance to specific areas, e.g., an abnormal region, (4) generation of additional assistant information that is not visible directly in practice, e.g., anatomical names, measurement values (diameter, volume, and so on.), results of surgical simulation, and organs existing beyond an organ’s wall in an endoscopic view, and (5) visualization of such information. We briefly introduce medical image processing technologies and CAD/CAS systems that we have developed.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. van Ginneken, B., ter, B.M., Romeny, H., Viergever, M.A.: Computer-Aided Diagnosis in Chest Radiography: A Survey. IEEE trans. on Medical Imaging 20(12), 1228–1241 (2001)

    Article  Google Scholar 

  2. Cleary, K., Nguyen, C.: State of the Art in Surgical Robotics: Clinical Application and Technology Challenges. Computer Aided Surgery 6(6), 312–328 (2001)

    Article  Google Scholar 

  3. Hasegawa, J., Mori, K., Toriwaki, J., et al.: Automated Extraction of Lung cancer lesions from multi-Slice Chest CT Images by Using Three-Dimensional Image Processing. IEICE D-II J76-D-II(8), 1587–1594 (1993) (in japanese)

    Google Scholar 

  4. Kitasaka, T., Mori, K., Hasegawa, J., et al.: A Method for Extraction of Bronchus Regions from 3D Chest X-ray CT Images by Analyzing Structural Features of the Bronchus. FORMA 17(4), 321–338 (2002)

    MATH  Google Scholar 

  5. Kitasaka, T., Mori, K., Hasegawa, J., et al.: Automated Extraction of Aorta and Pulmonary Artery in Mediastinum from 3D Chest X-ray CT Images without Contrast Medium. In: Proc. of SPIE, vol. 4684, pp. 1496–1507 (2002)

    Google Scholar 

  6. Yamaguchi, T., Kitasaka, T., Mori, K., et al.: A preliminary study for automated recognition of branches of pulmonary artery and vein using anatomical positional relations from a 3-D chest X-ray CT image. In: Proc. of the 16th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2002), pp. 782–787 (2002)

    Google Scholar 

  7. Hayashi, Y., Mori, K., Hasegawa, J., et al.: Quantitative evaluation of observation methods in virtual endoscopy based on the rate of undisplayed region. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2489, pp. 631–638. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  8. Mori, K., Hasegawa, J., Suenaga, Y., et al.: Automated Anatomical Labeling of the Bronchial Branch and Its Application to the Virtual Bronchoscopy System. IEEE Trans. on Medical Imaging, 103–114 (2000)

    Google Scholar 

  9. Ema, S., Mori, K., Kitasaka, T., et al.: An improved method for automated anatomical labeling of bronchial branches extracted from 3-D CT images. In: Proc. of the 18th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2004), p. 1358 (2004)

    Google Scholar 

  10. Hirano, Y., Hasegawa, J., Toriwaki, J.: A feasibility study on computer classification of benign and malignant tumors in lung cancer diagnosis from chest X-ray CT images. In: Proc. of the 14th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2000), pp. 773–778 (2000)

    Google Scholar 

  11. Yoshida, H., Nappi, J.: Three-Dimensional Computer Aided Diagnosis Scheme for Detection of Colonic Polyps. IEEE Trans. on Medical Imaging 20(12), 1261–1274 (2001)

    Article  Google Scholar 

  12. Kimura, T., Hayashi, Y., Kitasak, T., et al.: A study on automated detection of colonic polyps from 3D abdominal CT images based on shape. TECHNICAL REPOT OF IEICE, MI2003-102, pp. 29–34 (2004) (in japanese)

    Google Scholar 

  13. Mori, K., Hasegawa, J., Toriwaki, J., et al.: Automated extraction and visualization of bronchus from 3D CT images of lung. In: Ayache, N. (ed.) CVRMed 1995. LNCS, vol. 905, pp. 542–548. Springer, Heidelberg (1995)

    Chapter  Google Scholar 

  14. Oka, H., Hayashi, Y., Mori, K., et al.: A Method for Generating Unfolded Views of Organ and Its Comparison With Virtual Endoscopy Based on Undisplayed Region Rate. In: Proc. of SPIE, vol. 5031, pp. 99–101 (2003)

    Google Scholar 

  15. Mori, K., Deguchi, D., Sugiyama J., et al.: “Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images,” Medical Image Analysis, No. 6, pp. 321–336 (2002)

    Google Scholar 

  16. Mori, K., Hayashi, Y., Ohta, K., et al.: Virtual pneumoperitoneum for generating virtual laparoscopic images based on shape deformation. In: Proc. of SPIE, vol. 5639, pp. 178–188 (2004)

    Google Scholar 

  17. Mori, K., Enjouji, T., Deguchi, D., et al.: New image similarity measures for bronchoscope tracking based on image registration between virtual and real bronchoscopic images. In: Proc. of SPIE, vol. 5639, pp. 165–176 (2004)

    Google Scholar 

  18. Oda, M., Hayashi, Y., Kitasaka, T., et al.: Development of Computer Aided Diagnosis System for Colorectal Cancer based on Navigation Diagnosis. Technical Report Of IEICE, MI2004-18, pp. 35–40 (2004)

    Google Scholar 

  19. Nagao, J., Aiguchi, T., Mori, K., et al.: A CAD System for Quantifying COPD Based on 3-D CT Images. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 730–737. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  20. Mori, M., Takabatake, H., Natori, H., et al.: Three-dimensional Display of Pulmonary Emphysema: Quantitative Analysis of Spatial Distributions. In: Scientific Assembly and Annual Meeting Program, Radiological Society of North America (RSNA 2003), p. 805 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kitasaka, T., Mori, K., Suenaga, Y. (2004). Development of Advanced Image Processing Technology and Its Application to Computer Assisted Diagnosis and Surgery. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30541-5_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23974-1

  • Online ISBN: 978-3-540-30541-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics