Detection of pneumoconiosis opacities on CT images and its application to automatic diagnosis

被引：0
|
作者：
Hagihara, Y [1 ]
Okuno, S [1 ]
Kobatake, H [1 ]
Shida, H [1 ]
机构：
[1] Tokyo Univ Agr & Technol, Koganei, Tokyo 184, Japan
来源：
ADVANCES IN THE PREVENTION OF OCCUPATIONAL RESPIRATORY DISEASES | 1998年 / 1153卷
关键词：
ILO classification; morphology; multistructuring elements;
D O I：
暂无
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
This paper presents a fundamental approach for quantitative diagnosis of pneumoconiosis by detecting rounded opacities of pneumoconiosis on CT images. This method is based on mathematical morphology. The software system consists of three major processing steps, that is, detection of rounded opacity candidates with multistructuring elements, and reduction of false pneumoconiosis opacities caused by blood vessels. Experimental results of automatic diagnosis show the effectiveness of the proposed method.
引用
收藏
页码：909 / 912
页数：4
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