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Automatic Lung Registration using Local Distance Propagation  

Lee Jeongjin (서울대학교 컴퓨터공학부)
Hong Helen (서울대학교 컴퓨터공학부)
Shin Yeong Gil (서울대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.1, 2005 , pp. 41-49 More about this Journal
Abstract
In this Paper, we Propose an automatic lung registration technique using local distance propagation for correcting the difference between two temporal images by a patient's movement in abdomen CT image obtained from the same patient to be taken at different time. The proposed method is composed of three steps. First, lung boundaries of two temporal volumes are extracted, and optimal bounding volumes including a lung are initially registered. Second, 3D distance map is generated from lung boundaries in the initially taken volume data by local distance propagation. Third, two images are registered where the distance between two surfaces is minimized by selective distance measure. In the experiment, we evaluate a speed and robustness using three patients' data by comparing chamfer-matching registration. Our proposed method shows that two volumes can be registered at optimal location rapidly. and robustly using selective distance measure on locally propagated 3D distance map.
Keywords
Medical imaging; Image registration; Rigid transformation; Distance transform; Optimization;
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Times Cited By KSCI : 2  (Citation Analysis)
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