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In this paper we present one method for segmenting the lungs and three methods to segment pulmonary lobes from thoracic CT images and their application to the LOLA11 challenge data. The lung segmenta-tion procedure is fully automated and uses a sequence of morphological operations to refine an initial threshold-based segmentation of the pulmonary airspaces.(More)
Segmentation of the pulmonary lobes is relevant in clinical practice and particularly challenging for cases with severe diseases or incomplete fissures. In this work, an automated segmentation approach is presented that performs a marker-based watershed transformation on computed tomography (CT) scans to subdivide the lungs into lobes. A cost image for the(More)
Lobewise analysis of the pulmonary parenchyma is of clinical relevance for diagnosing and monitoring pathologies. In this work, a fully automatic lobe segmentation approach is presented, which is based on a previously proposed watershed transformation approach. The proposed extension explicitly considers the pulmonary fissures by including them in the cost(More)
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