Correction of lung boundary using the gradient and intensity distribution

Authors:
Yeny Yim;Helen Hong;Joon Beom Seo;Namkug Kim;Eun Jin Chae;Yeong Gil Shin
Affiliations:
School of Computer Science and Engineering, Seoul National University, San 56-1 Shinlim 9-dong Kwanak-gu, Seoul 151-742, Republic of Korea;Division of Multimedia Engineering, College of Information and Media, Seoul Woman's University, 126 Gongreung-dong, Nowon-gu, Seoul 139-774, Republic of Korea;Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 388-1, Poongnap-dong, Songpa-gu, Seoul 138-36, Republic of Korea;Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 388-1, Poongnap-dong, Songpa-gu, Seoul 138-36, Republic of Korea;Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 388-1, Poongnap-dong, Songpa-gu, Seoul 138-36, Republic of Korea;School of Computer Science and Engineering, Seoul National University, San 56-1 Shinlim 9-dong Kwanak-gu, Seoul 151-742, Republic of Korea
Venue:
Computers in Biology and Medicine
Year:
2009

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Abstract

We propose a new method for correcting the segmented lung boundary in expiratory and inspiratory CT. First, the initial lung boundary is extracted by using density-based segmentation. Second, the scope for the boundary propagation is computed by generating and analyzing the gradient profiles with an adaptive length. The definition of the scope helps to prevent the leakage outside the scope and improves the efficiency of the propagation. Finally, the boundary is propagated within the defined scope using a speed function. The speed function is based on the gradient and intensity distribution and prevents the boundary from converging to the local gradient maxima. The results of the lung boundary correction are evaluated by visual inspections, accuracy evaluations and processing time. Experimental results show that the proposed method corrects the lung boundary reliably and reproducibly.