Matching Sparse Sets of Cardiac Image Cross-Sections Using Large Deformation Diffeomorphic Metric Mapping Algorithm
نویسندگان
چکیده
Cardiac disease is often associated with remodeling. Ventricular shape and function is influenced by this remodeling. Assessing left ventricular shape and motion at the population level requires establishing anatomical correspondence using registration based techniques. Cardiac magnetic resonance imaging (MRI) provides detailed quantitative data about cardiac function and geometry. Cardiac MRI data are sparsely sampled that is not optimum for intensity-based registration methods. Methods that rely on fitting a smooth surface to the segmented contours may impose an artificial constraint to the registration process [1],[2]. We propose: to study the feasibility of matching sparsely sampled cardiac MR volumes using curve and surface matching in the context of large deformation diffeomorphic metric mapping [3],[4].
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