Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2002.06d
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- Pages.335-338
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- 2002
Automated Detection of Pulmonary Nodules in Chest Radiography Using Template Matching
단순흉부영상의 Template-Matching을 이용한 폐 결절 자동 추출
Abstract
This paper proposes some technical approaches for automatic detection of pulmonary nodules in chest X-ray images. We applied threshold technique for the lung field segmentation and extended the lung field by using morphological methods. A template matching technique was employed for automatic detecting nodules in lung area. Genetic algorithm(GA) was used in template matching(TM) to select a matched image from various reference patterns(simulated typical nodules). We eliminated the false-positive candidates by using histograms and contrasts. We used standard databases published by Japanese Society of Radiological Technology (JSRT) for correct results. Also we employ two-dimensional Gaussian distribution for some reference images because the shadow of lung nodules in radiogram generally shows the distributions. Nodules of about 89% were correctly detected by our scheme. The simulation results show that it is an effective method to indicate lesions on chest radiograms.
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