Optimal center point of lung motion with full inspiration and expiration CT data using non-linear optimization method
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概要
- 論文の詳細を見る
Accurate registration of lung parenchyma between two CT data with different lung volume is essential in developing CAD systems, including lung nodule follow-up study and CT per fusion analysis. Rigid registration with affine transformation based on geometric assumption before non-rigid deformable registration may shorten the processing time and decreases the mis-registration errors. The purpose of this study is to find the optimal center point of lung expansion from the CT data sets obtained in full inspiration and expiration. Ten pairs of CT data sets in normal subjects obtained in full inspiration (In) and expiration (Ex) were used in this study. Two radiologists were requested to draw 20 points representing the sub-pleural point of the central axis in each segment. The apex, hilar point, and center of inertia (COI) of each unilateral lung were proposed as the reference point. Each segmented unilateral lung CT data in expiration was translated to match the apex (curtain model), hilar point (half-balloon model), and COI (balloon model). To evaluate optimal expansion point, non-linear optimization without constraints was employed. The objective function is sum of distances from the line, consist of the corresponding points between In. and Ex. to the optimal point x. By using the non-linear optimization, the optimal points was evaluated and compared between reference points. Tukey's pair-wise comparison of the length between the evaluated optimal point and the reference point was performed among three models. Measured length +/- SD of curtain model was 96.92 +/- 29.19, 61.55 +/- 14.56 in half-balloon model, and 22.42 +/- 13.34 in balloon model. Tukey's pair-wise comparison (p<0.0001) revealed that the balloon model was significantly lower than that of balloon model and curtain model. This lung motion analysis based on vector analysis and non-linear optimization shows that balloon model centered on the center of inertia of lung is most effective geometric model to explain lung expansion by breathing.
- 社団法人電子情報通信学会の論文
- 2007-01-19
著者
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Hong Helen
School Of Computer Science And Engineering Seoul National University
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Kim Namkug
Department of Radiology, Asan Medical Center
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Seo Joon
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine
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Kim Namkug
Department Of Radiology Research Institute Of Radiology University Of Ulsan College Of Medicine Asan
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Kim Namkug
Department Of Industrial Engineering Seoul National University
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Choi Byung
Department Of Pediatrics St Mary's Hospital The Catholic University Of Korea
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Heo Jeong
Department Of Radiology Research Institute Of Radiology University Of Ulsan College Of Medicine Asan
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Choi Byung
Department Of Civil Engineering Sungkyunkwan University
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Heo Jeong
Department Of Internal Medicine Pusan National University College Of Medicine
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Kang Suk-Ho
Department of Industrial Engineering, Seoul National University
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Kang Suk-ho
Department Of Industrial Engineering Seoul National Univ.
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Lee Jeongjin
School of Computer Science and Engineering, Seoul National University
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Lee Jeongjin
School Of Computer Science And Engineering Seoul National University
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Seo Joon
Department Of Radiology And Research Institute Of Radiology University Of Ulsan College Of Medicine
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Seo Joon
Department Of Radiology Research Institute Of Radiology University Of Ulsan College Of Medicine Asan
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Choi Byung
Department Of Industrial Engineering Seoul National Univ.
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