Computer-aided diagnosis for pulmonary nodules based on helical CT images

被引：214

作者：

Kanazawa, K ^{[1
]}

Kawata, Y ^{[1
]}

Niki, N ^{[1
]}

Satoh, H ^{[1
]}

Ohmatsu, H ^{[1
]}

Kakinuma, R ^{[1
]}

Kaneko, M ^{[1
]}

Moriyama, N ^{[1
]}

Eguchi, K ^{[1
]}

机构：

[1] Univ Tokushima, Dept Opt Sci, Tokushima 770, Japan

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 1998年 / 22卷 / 02期

关键词：

computer-aided diagnosis; chest helical CT image; lung cancer; pulmonary nodules; diagnostic rules;

D O I：

10.1016/S0895-6111(98)00017-2

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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 analytical and diagnostic procedures. In the analytical procedure, first we extract the lung and the pulmonary blood vessel regions using the fuzzy clustering algorithm, then we analyze the features of these regions using image-processing techniques. In the diagnostic procedure, we define diagnostic rules utilizing the extracted features which support the determination of the candidate nodule locations. We show the effectiveness of our system by giving the results from its application to image data for mass screening of 450 patients. (C) 1948 Elsevier Science Ltd. All rights reserved.

引用

页码：157 / 167

页数：11

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