Segmentation of Lungs, Fissures, Lobes from Chest CT Images and Analysis
Journal Title: International Journal of Electronics Communication and Computer Technology - Year 2012, Vol 2, Issue 5
Abstract
Pulmonary Segmentation of lungs from chest CT images is useful in diagnosis of abnormalities and surgery planning. Lung is segmented from chest CT using iterative thresholding method. Further processing is carried out to visualize fissures characteristics and each segment inside the lung. Lung fissures are extracted using canny edge detection. Morphological operations are applied to smooth the lung borders. Lobe segmentation is carried out by edge tracking and region filling algorithms to differentiate the segments. The method is evaluated on chest CT images of normal and abnormal cases. Confusion matrix is computed for determination of pulmonary segmentation accuracy. The segmentation method is automatic and shown good accuracy.
Authors and Affiliations
Lavanya. K| Department of Instrumentation Technology S.J. College of Engineering Mysore, INDIA, M. S. Mallikarjuna Swamy| Department of Instrumentation Technology S.J. College of Engineering Mysore, INDIA
Keywords
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