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Proceedings Paper

Segmentation of ground glass opacities by asymmetric multi-phase deformable model
Author(s): Yongseok Yoo; Hackjoon Shim; Il Dong Yun; Kyung Won Lee; Sang Uk Lee
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Paper Abstract

Recently ground glass opacities (GGOs) have become noteworthy in lung cancer diagnosis. It is crucial to define the boundary a GGO accurately and consistently, since the growth rate is the most manifest evidence of its malignancy. The indefinite and irregular boundary of a GGO makes deformable models adequate for its segmentation. Among deformable models a level set method has the ability to handle topological changes. For the exact estimation of GGO's volume change, the pulmonary airways inside GGO should be excluded in its volume estimation, which necessitate the segmentation into more regions than two of the object and the background. Hence, we adopted a multi-phase deformable model of two level set functions and modified its energy functional into an asymmetric form. The main two modifications are the elimination of one region in four regions of the conventional 4-phase deformable model and the prevention of the outer region from spreading out of the initialization. The proposed model segments the input image into three regions of the inner and outer regions, and the background. The GGO tissues are segmented as the inner region and the outer region plays the role of blockade for the inner region not to leak out to adjacent anatomical structures of similar Hounsfield Unit (HU) values. Our experimental results confirmed the feasibility of the proposed method as a pre-processing step for three dimensional (3-D) volume measurement of the GGO.

Paper Details

Date Published: 16 March 2006
PDF: 8 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614440 (16 March 2006); doi: 10.1117/12.653053
Show Author Affiliations
Yongseok Yoo, Samsung Advanced Institute of Technology (South Korea)
Hackjoon Shim, Seoul National Univ. (South Korea)
Il Dong Yun, Hankuk Univ. of Foreign Studies (South Korea)
Kyung Won Lee, Seoul National Univ. Bundang Hospital (South Korea)
Sang Uk Lee, Seoul National Univ. (South Korea)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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