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Marching Cubes(MC) Algorithm is a classical 3D reconstruction method, while topological ambiguity exists in this method. Some classical methods are not good because of their complex configuration. Marching Tetrahedra Algorithms solve the problem of topological ambiguity in a certain extent, but decomposed ambiguity still exists and there are too many triangle patches. This paper proposes a four-pyramid decomposing method, combined MC and MT methods, and gets another self-adaptive decomposing method. We used several sets of medical images in the experiments, and proved this method avoids topologic ambiguity and decomposed ambiguity, while the number of triangle patches is less than using MT method, so it has better operational efficiency.