11 March 2008 Lung lobe modeling and segmentation with individualized surface meshes
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Abstract
An automated segmentation of lung lobes in thoracic CT images is of interest for various diagnostic purposes like the quantification of emphysema or the localization of tumors within the lung. Although the separating lung fissures are visible in modern multi-slice CT-scanners, their contrast in the CT-image often does not separate the lobes completely. This makes it impossible to build a reliable segmentation algorithm without additional information. Our approach uses general anatomical knowledge represented in a geometrical mesh model to construct a robust lobe segmentation, which even gives reasonable estimates of lobe volumes if fissures are not visible at all. The paper describes the generation of the lung model mesh including lobes by an average volume model, its adaptation to individual patient data using a special fissure feature image, and a performance evaluation over a test data set showing an average segmentation accuracy of 1 to 3 mm.
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Thomas Blaffert, Thomas Blaffert, Hans Barschdorf, Hans Barschdorf, Jens von Berg, Jens von Berg, Sebastian Dries, Sebastian Dries, Astrid Franz, Astrid Franz, Tobias Klinder, Tobias Klinder, Cristian Lorenz, Cristian Lorenz, Steffen Renisch, Steffen Renisch, Rafael Wiemker, Rafael Wiemker, } "Lung lobe modeling and segmentation with individualized surface meshes", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69141I (11 March 2008); doi: 10.1117/12.770099; https://doi.org/10.1117/12.770099
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