Multi-slice CT technology was developed, so, we can get clear contrast images and thin slice images. But doctors need
to diagnosis many image, thus their load increases. Therefore, development of the algorithm that analyses lung internal-organs
is expected. When doctors diagnose lung internal-organs, they understand it. So, detailed analyze of lung internal-organs
is applicant to early detection of a nodule. Especially, analyzing bronchus provides that useful information of
detection of airway disease and classification of the pulmonary vein and artery. In this paper, we describe a method for
automated anatomical labeling algorithm of bronchial branches based on Multi-Slice CT images.
Multi-slice CT technology was developed, so, we can get clear contrast images and thin slice images. But doctors need to diagnosis many image, thus their load increases. Therefore, development of the algorithm that analyses lung internal-organs is expected. When doctors diagnose lung internal-organs, they understand it. So, detailed analyze of lung internal-organs is applicant to early detection of a nodule. Especially, analyzing bronchus provides that useful information of detection of airway disease and classification of the pulmonary vein and artery. In this paper, we describe a method for automated anatomical labeling algorithm of bronchial branches based on Multi-Slice CT images.
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