Abstract
In recent year, various imaging techniques have been introduced into medical fields as useful tools for providing helpful information for visual inspections. For example, magnetic resonance imaging and computed tomography, etc., are those already established imaging techniques. Accordingly many related image processing techniques have been developed and reported in medical imaging fields. In the field of X-ray CT images, to segment of lung cancer region several approaches are reported in the past. Many of them need some knowledge-based schemes based on 3-D structure such as a blood vessel. In this paper, we propose a technique for automatic extraction of lung areas and its measurement of ground glass opacity by computer employing a set of chest CT images. In the first stage, we extract the lung area from the given 2-D CT images. In the next stage, ground glass opacity is extracted employing skewness and kurtosis. The technique was applied to 33 chest CT image sets and satisfactory results were obtained.
