Application of a Computer-aid Diagnosis of Pneumoconiosis for CR X-ray Images

Authors

  • Koji Abe Kinki University
  • Masahide Minami Kanazawa Gakuin University
  • Ryosuke Miyazaki Kinki University
  • Haiyan Tian Kobe University

DOI:

https://doi.org/10.14738/jbemi.15.606

Keywords:

Computer-aided diagnosis, Pneumoconiosis, Chest X-ray image, Medical image processing

Abstract

This paper presents a method for applying a computer-aided diagnosis (CAD) for pneumoconiosis to chest X-ray images digitalized by the computed radiography (CR) system.When we reported the CAD before, we showed performance of the CAD for chest X-ray images digitalized by a CCD scanner. However, since density distribution of the CR X-ray images is quite different from the images digitalized by CCD scanner, it is necessary to equip some preprocessing into the CAD for applying to the CR images. In this paper, as the first trial for the application, drawing rib edges and additional lines on the CR images by a tablet PC, we examined whether the CAD can be interactively applied to the CR images. Using 51 chest CR X-ray images, we compared the proposed CAD system with the existing system for the images digitalized by CCD scanner.

References

. R.P. Kruger, W.B. Thompson, and A.F. Turner, Computer diagnosis of pneumoconiosis. Trans. on Systems, Man. and Cybernetics, 1974. SMC-4(1): pp. 40-49.

. H. Kobatake and K. Ohishi, Automatic diagnosis of pneumoconiosis by texture analysis of chest x-ray images. Proc. IEEE ICASSP, 1987. pp. 633-636.

. A.M. Savol, C.C. Li, and R.J. Hoy, Computer aided recognition of small rounded pneumoconiosis opacities in chest X-rays. IEEE Transactions on PAMI, 1980. 2(5): pp. 479-482.

. T. Kouda and H. Kondo, Computer-aided diagnosis for pneumoconiosis using neural network. Biomed. Soft Comput. Hum. Sci., 2001. 7(1): pp. 13-18.

. M. Nakamura, K. Abe, and M. Minami, Quantitative Evaluation of Pneumoconiosis in Chest Radiographs Obtained with a CCD Scanner. Proc. of the 2nd International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2009), 2009. pp. 673-678.

. K. Abe, T. Tahori, M. Minami, M. Nakamura, and H. Tian, Computer-aided diagnosis of pneumoconiosis X-ray images scanned with a common CCD scanner. Automation Control and Intelligent Systems, 2013. 1(2): pp. 24-33.

. International Labour Organization (ILO), Guidelines for the use of ILO international classification of radiographs of pneumoconiosis (Revised edition 2011). Geneva: International Labour Office.

. F. Mosteller, A k-sample slippage test for an extreme population. The Annals of Mathematical Statistics, 1948. 19(1): pp. 58-65.

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Published

2014-11-04

How to Cite

Abe, K., Minami, M., Miyazaki, R., & Tian, H. (2014). Application of a Computer-aid Diagnosis of Pneumoconiosis for CR X-ray Images. Journal of Biomedical Engineering and Medical Imaging, 1(5), 113–122. https://doi.org/10.14738/jbemi.15.606