Paper
14 September 1993 Advances in automated lung segmentation in CT studies
Francoise J. Preteux, Philippe Grenier M.D., Pierre Vanier
Author Affiliations +
Abstract
In this paper, we address the problem of lungs segmentation in high resolution CT studies. Specifically, we present three segmentation method based on (1) self-adaptive erosion, (2) connection cost and the topographical skeleton by influence zones, and (3) active contour modeling. These methods are shown to provide consistent theoretical and practical tools for solving the difficult problem in hand.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francoise J. Preteux, Philippe Grenier M.D., and Pierre Vanier "Advances in automated lung segmentation in CT studies", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154519
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Lung

Image segmentation

Image processing

Computed tomography

Mathematical modeling

Binary data

Algorithm development

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