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Computer-aided diagnostic system for pulmonary nodules using helical CT images

  • K. Kanazawa
  • Y. Kawata
  • N. Niki
  • H. Satoh
  • H. Ohmatsu
  • R. Kakinuma
  • M. Kaneko
  • K. Eguchi
  • N. Moriyama
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1496)

Abstract

In this paper, we present a computer assisted automatic diagnostic system for lung cancer that detects nodule candidates at an early stage from helical CT images of the thorax. Our diagnostic system consists of analytic and diagnostic procedures. In the analysis procedure, we extract the lung and the blood vessel regions using the fuzzy clustering algorithm, then we analyze the features of these regions. In the diagnosis procedure, we define diagnostic rules utilizing the extracted features which support the determination of the candidate nodule locations.

Keywords

Pulmonary Nodule Lung Field Nodule Candidate National Cancer Center Hospital Fuzzy Cluster Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    M.L. Giger, K.T. Bae, and H. MacMahon: “Computerized Detection of Pulmonary Nodules in computed Tomography Images”, Invest Radiol, vol.29, no.4, pp.459–465, 1994.CrossRefPubMedGoogle Scholar
  2. 2.
    K.Kanazawa, K.Kubo, N.Niki, H.Satoh, H.Ohmatsu, K.Eguchi, N.Moriyama: “Computer Aided Screening System for Lung Cancer Based on Helical CT Images”, Visualization in Biomedical Computing, Lecture Notes in Computer Science 1131, Springer, pp.223–228, 1996.Google Scholar
  3. 3.
    Y.Kawata, K.Kanazawa, S.Toshioka, N.Niki, H.Satoh, H.Omatsu, K.Eguchi, N.Moriyama: “Computer Aided Diagnosis System for Lung Cancer Based on Helical CT Images”, Lecture Notes in Computer Science 1311, Image Analysis and Processing, Springer, pp.420–427, 1997.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • K. Kanazawa
    • 1
  • Y. Kawata
    • 2
  • N. Niki
    • 2
  • H. Satoh
    • 3
  • H. Ohmatsu
    • 4
  • R. Kakinuma
    • 4
  • M. Kaneko
    • 5
  • K. Eguchi
    • 6
  • N. Moriyama
    • 4
  1. 1.Dept. of Information EngineeringTakuma National College of TechnologyJapan
  2. 2.Dept. of Optical ScienceUniversity of TokushimaJapan
  3. 3.Medical Engineering LaboratryJapan
  4. 4.National Cancer Center Hospital EastJapan
  5. 5.National Cancer Center HospitalJapan
  6. 6.National Shikoku Cancer Center HospitalJapan

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