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

โœ Scribed by K Kanazawa; Y Kawata; N Niki; H Satoh; H Ohmatsu; R Kakinuma; M Kaneko; N Moriyama; K Eguchi

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
572 KB
Volume
22
Category
Article
ISSN
0895-6111

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โœฆ Synopsis

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.

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