PULMONARY LOBE SEGMENTATION FROM CT IMAGES USING FISSURENESS, AIRWAYS, VESSELS AND MULTILEVEL B-SPLINES

Journal article

Lobe detection from CT images is a challenging segmentation problem with important respiratory health care applications, including surgical planning and regional image analysis. We present a fully automated method for segmenting the pulmonary lobes. We first build a lobar approximation by applying a watershed transform to a vesselness density filter, using seed points generated from segmentation and analysis of the bronchial tree. We then apply a fissureness filter, which combines Hessian-bas...

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Authors: Doel, T; Matin, T; Gleeson, F; Gavaghan, D; Grau, V

• Publication status: Published
• Journal: 2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
• Pages: 1491-1494
• Publication date: 2012-01-01
• DOI: 10.1109/ISBI.2012.6235854
• EISSN: 1945-8452
• ISSN: 1945-7928
• Language: English
• Keywords: segmentation; Computed tomography (CT); pulmonary lobes; fissures; lungs