Automated quantitative analysis for pneumoconiosis

Hiroshi Kondo; Bin Zhao; Masako Mino

doi:10.1117/12.323592

25 September 1998 Automated quantitative analysis for pneumoconiosis

Hiroshi Kondo, Bin Zhao, Masako Mino

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323592
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

Abstract

Automated quantitative analysis for pneumoconiosis is presented. In this paper Japanese standard radiographs of pneumoconiosis are categorized by measuring the area density and the number density of small rounded opacities. And furthermore the classification of the size and shape of the opacities is made from the measuring of the equivalent radiuses of each opacity. The proposed method includes a bi- level unsharp masking filter with a 1D uniform impulse response in order to eliminate the undesired parts such as the images of blood vessels and ribs in the chest x-ray photo. The fuzzy contrast enhancement is also introduced in this method for easy and exact detection of small rounded opacities. Many simulation examples show that the proposed method is more reliable than the former method.

Citation Download Citation

Hiroshi Kondo, Bin Zhao, and Masako Mino "Automated quantitative analysis for pneumoconiosis", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323592

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