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KMID : 1137820110320030237
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의공학회지
2011 Volume.32 No. 3 p.237 ~ p.244
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Feature-based Non-rigid Registration between Pre- and Post-Contrast Lung CT Images
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Lee Hyunjoon
Kwon Dongjin
Lee Sang-Uk
Hong Youngtaek
Yun Il-Dong
Shim Hack-Joon
Kim Nam-Kug
Seo Joon-Beom
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Abstract
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In this paper, a feature-based registration technique is proposed for pre-contrast and post-contrast lung CT images. It utilizes three dimensional(3-D) features with their descriptors and estimates feature correspondences by nearest neighborhood matching in the feature space. We design a transformation model between the input image pairs using a free form deformation(FFD) which is based on B-splines. Registration is achieved by minimizing an energy function incorporating the smoothness of FFD and the correspondence information through a non-linear gradient conjugate method. To deal with outliers in feature matching, our energy model integrates a robust estimator which discards outliers effectively by iteratively reducing a radius of confidence in the minimization process. Performance evaluation was carried out in terms of accuracy and efficiency using seven pairs of lung CT images of clinical practice. For a quantitative assessment, a radiologist specialized in thorax manually placed landmarks on each CT image pair. In comparative evaluation to a conventional feature-based registration method, our algorithm showed improved performances in both accuracy and efficiency.
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KEYWORD
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non-rigid registration, lung CT, free-form deformation(FFD), 3-D feature detection, scale invariant feature transform(SIFT), energy minimization
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