Automated lung segmentation in serial thoracic high resolution CT images
Wei Liu · Beijing shengwu yixue gongcheng · 2008
An automated lung segmentation method for the serial thoracic high resolution CT images was proposed.Based on the structure contiguity,firstly the method used the thresholding and morphology technique to segment lung parenchyma coarsely.Then it eliminated the trachea and main bronchia using region growing method.Lastly a rolling ball technique was used to remedy the crack and gap in the lung boundary.In experiments,six cases which were comprised of 1720 slices were put into segmentation.The satisfactory results are above 90% and the mean segmentation time of one slice is shorter than 6 seconds.Then a case with normal slices was used to analyze the similarity between the results from computerized segmentation and handwork,and a good superposition is achieved.