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Proceedings Paper

A completely automated processing pipeline for lung and lung lobe segmentation and its application to the LIDC-IDRI data base
Author(s): Thomas Blaffert; Rafael Wiemker; Hans Barschdorf; Sven Kabus; Tobias Klinder; Cristian Lorenz; Nicole Schadewaldt; Ekta Dharaiya
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Paper Abstract

Automated segmentation of lung lobes in thoracic CT images has relevance for various diagnostic purposes like localization of tumors within the lung or quantification of emphysema. Since emphysema is a known risk factor for lung cancer, both purposes are even related to each other. The main steps of the segmentation pipeline described in this paper are the lung detector and the lung segmentation based on a watershed algorithm, and the lung lobe segmentation based on mesh model adaptation. The segmentation procedure was applied to data sets of the data base of the Image Database Resource Initiative (IDRI) that currently contains over 500 thoracic CT scans with delineated lung nodule annotations. We visually assessed the reliability of the single segmentation steps, with a success rate of 98% for the lung detection and 90% for lung delineation. For about 20% of the cases we found the lobe segmentation not to be anatomically plausible. A modeling confidence measure is introduced that gives a quantitative indication of the segmentation quality. For a demonstration of the segmentation method we studied the correlation between emphysema score and malignancy on a per-lobe basis.

Paper Details

Date Published: 12 March 2010
PDF: 9 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762347 (12 March 2010); doi: 10.1117/12.844760
Show Author Affiliations
Thomas Blaffert, Philips Research Europe (Germany)
Rafael Wiemker, Philips Research Europe (Germany)
Hans Barschdorf, Philips Research Europe (Germany)
Sven Kabus, Philips Research Europe (Germany)
Tobias Klinder, Philips Research Europe (Germany)
Cristian Lorenz, Philips Research Europe (Germany)
Nicole Schadewaldt, Philips Research Europe (Germany)
Ekta Dharaiya, Philips Healthcare CT (United States)

Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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