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Proceedings Paper

Automated segmentation of pulmonary lobes in chest CT scans using evolving surfaces
Author(s): Pechin Lo; Eva M. van Rikxoort; Fereidoun Abtin; Shama Ahmad; Arash Ordookhani; Jonathan Goldin; Matthew S. Brown
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Paper Abstract

Segmentation of the pulmonary lobes from chest CT scans is a challenging problem, especially with the presence of incomplete pulmonary fissures. We present an iterative approach for the segmentation of pulmonary lobes via a surface that evolves based on a voxel based fissure confidence function and a smooth prior. The surface is constructed such that it separates the whole lung at all times, and is represented as a height map above a 2D reference plane. A surface evolution process is used to fit the surface to a pulmonary fissure in a scan. At each iteration, the height of all points in the map is adjusted such that the overall confidence is maximized, followed by Laplacian smoothing to enforce a smooth prior on the surface. The proposed method was trained and tuned on 18 CT scans from a clinical trial, and tested on 41 scans of different patients with severe emphysema from another clinical trial. Average overlap ratio of the segmented upper and lower lobes of the left and right lungs are 0.96 and 0.91 respectively, with no manual editing of the major fissures. Average overlap ratio for the right middle lobe is 0.86, where manually selection of initial lobe was needed for six cases, and with seven cases excluded because the minor fissure was almost entirely not visible in the CT scan.

Paper Details

Date Published: 13 March 2013
PDF: 7 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86693R (13 March 2013); doi: 10.1117/12.2006982
Show Author Affiliations
Pechin Lo, Univ. of California, Los Angeles (United States)
Eva M. van Rikxoort, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Fereidoun Abtin, Univ. of California, Los Angeles (United States)
Shama Ahmad, Univ. of California, Los Angeles (United States)
Arash Ordookhani, Univ. of California, Los Angeles (United States)
Jonathan Goldin, Univ. of California, Los Angeles (United States)
Matthew S. Brown, Univ. of California, Los Angeles (United States)

Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)

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