
Proceedings Paper
Robust pulmonary lobe segmentation against incomplete fissuresFormat | Member Price | Non-Member Price |
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Paper Abstract
As important anatomical landmarks of the human lung, accurate lobe segmentation may be useful for characterizing
specific lung diseases (e.g., inflammatory, granulomatous, and neoplastic diseases). A number of investigations showed
that pulmonary fissures were often incomplete in image depiction, thereby leading to the computerized identification of
individual lobes a challenging task. Our purpose is to develop a fully automated algorithm for accurate identification of
individual lobes regardless of the integrity of pulmonary fissures. The underlying idea of the developed lobe
segmentation scheme is to use piecewise planes to approximate the detected fissures. After a rotation and a global
smoothing, a number of small planes were fitted using local fissures points. The local surfaces are finally combined for
lobe segmentation using a quadratic B-spline weighting strategy to assure that the segmentation is smooth. The
performance of the developed scheme was assessed by comparing with a manually created reference standard on a
dataset of 30 lung CT examinations. These examinations covered a number of lung diseases and were selected from a
large chronic obstructive pulmonary disease (COPD) dataset. The results indicate that our scheme of lobe segmentation
is efficient and accurate against incomplete fissures.
Paper Details
Date Published: 23 February 2012
PDF: 8 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 831535 (23 February 2012); doi: 10.1117/12.911073
Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)
PDF: 8 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 831535 (23 February 2012); doi: 10.1117/12.911073
Show Author Affiliations
Suicheng Gu, Univ. of Pittsburgh Medical Ctr. (United States)
Qingfeng Zheng, Peking Univ. School of Oncology (China)
Beijing Cancer Hospital & Institute (China)
Qingfeng Zheng, Peking Univ. School of Oncology (China)
Beijing Cancer Hospital & Institute (China)
Jill Siegfried, Univ. of Pittsburgh (United States)
Jiantao Pu, Univ. of Pittsburgh Medical Ctr. (United States)
Jiantao Pu, Univ. of Pittsburgh Medical Ctr. (United States)
Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)
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