Non-rigid registration by geometry-constrained diffusion☆
نویسندگان
چکیده
منابع مشابه
Non-rigid Registration by Geometry-Constrained Diffusion
Assume that only partial knowledge about a non-rigid registration is given: certain points, curves or surfaces in one 3D image are known to map to certain points, curves or surfaces in another 3D image. In trying to identify the non-rigid displacement field, we face a generalized aperture problem since along the curves and surfaces, point correspondences are not given. We will advocate the view...
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Assume that only partial knowledge about a non-rigid registration is given so that certain points, curves, or surfaces in one 3D image map to certain certain points, curves, or surfaces in another 3D image. We are facing the aperture problem because along the curves and surfaces, point correspondences are not given. We will advocate the viewpoint that the aperture and the 3D interpolation probl...
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Non-rigid registration becomes more and more important in biomedical imaging applications. A novel non-rigid registration method based on diffusion model with demons algorithm is proposed in this paper. The moving image is considered as a deformable grid, and it is diffusing through the contours of the objects in itself, by the action of effectors, called demons, situated in these interfaces. I...
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Groupwise non-rigid registration is an important technique in medical image analysis. Recent studies show that its accuracy can be greatly improved by explicitly providing good initialisation. This is achieved by seeking a sparse correspondence using a parts+geometry model. In this paper we show that a single parts+geometry model is unlikely to establish consistent sparse correspondence for com...
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ژورنال
عنوان ژورنال: Medical Image Analysis
سال: 2001
ISSN: 1361-8415
DOI: 10.1016/s1361-8415(00)00036-0