지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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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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참고문헌 (17)
참고문헌 신청
/ 1997 / Scattered data interpolation with multilevel B-splines / IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 3 (3) : 228 ~ 244
B. Li / 2008 / Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3-D consistent image registration / Medical Ph
B. Zitova / 2003 / Image registration methods : a survey / Image and Vision Computing 21 (11) : 977 ~ 1000
C.V. Stewart / 2004 / An uncertainty-driven hybrid of intensity-based and feature-based registration with application to retinal and lung CT images / Proc. of MICCAI : 870 ~ 877
D. Kwon / 2008 / Efficient feature-based nonrigid registration of multiphase liver CT volumes / Proc. of BMVC
B. Li / 2008 / Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3-D consistent image registration / Medical Ph
B. Zitova / 2003 / Image registration methods : a survey / Image and Vision Computing 21 (11) : 977 ~ 1000
C.V. Stewart / 2004 / An uncertainty-driven hybrid of intensity-based and feature-based registration with application to retinal and lung CT images / Proc. of MICCAI : 870 ~ 877
D. Kwon / 2008 / Efficient feature-based nonrigid registration of multiphase liver CT volumes / Proc. of BMVC
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