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Proceedings Paper

Lung lobe modeling and segmentation with individualized surface meshes
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Paper 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.

Paper Details

Date Published: 11 March 2008
PDF: 10 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69141I (11 March 2008); doi: 10.1117/12.770099
Show Author Affiliations
Thomas Blaffert, Philips Research Europe - Hamburg (Germany)
Hans Barschdorf, Philips Research Europe - Hamburg (Germany)
Jens von Berg, Philips Research Europe - Hamburg (Germany)
Sebastian Dries, Philips Research Europe - Hamburg (Germany)
Astrid Franz, Philips Research Europe - Hamburg (Germany)
Tobias Klinder, Philips Research Europe - Hamburg (Germany)
Cristian Lorenz, Philips Research Europe - Hamburg (Germany)
Steffen Renisch, Philips Research Europe - Hamburg (Germany)
Rafael Wiemker, Philips Research Europe - Hamburg (Germany)

Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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