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- W2886702904 abstract "In this paper, a new similarity measure, WLMI (Weighted Local Mutual Information), based on weighted patch and mutual information is proposed to register the preoperative 3D CT model to the intra-operative 2D X-ray images in vascular interventions. We embed this metric into the 2D-3D registration framework, where we show that the robustness and accuracy of the registration can be effectively improved by adapting the strategy of local image patch selection and the weighted joint distribution calculation based on gradient. Experiments on both synthetic and real X-ray image registration show that the proposed method produces considerably better registration results in a shorter time compared with the conventional MI and Normalized MI methods." @default.
- W2886702904 created "2018-08-22" @default.
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- W2886702904 date "2018-01-01" @default.
- W2886702904 modified "2023-10-05" @default.
- W2886702904 title "Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions" @default.
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- W2886702904 doi "https://doi.org/10.1007/978-3-319-97785-0_36" @default.
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