Abstract
Most image registration algorithms ignore the underlying tissue features but simply rely on the similarity of image intensity. As thus, a spatial accuracy better than 3∼5 mm is hardly achievable using any of these techniques. The aim of this work is to develop a tissue feature-based deformable algorithm to substantially improve the performance of registration for various IGRT applications. The novelties of this work include: (1) auto-detection and quantitative characterization of homologous tissue features in the input images; and (2) seamlessly incorporation of the detected tissue feature information for accurate and robust registration.
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