Reconstructing anatomical structures with growing self-reconstruction maps

This paper introduces modifications to a surface reconstruction method previously proposed, the GSRM-iDT, to reduce its processing time allowing its use in real world applications. GSRM-iDT is an incremental self-organizing map that produces 2-manifold meshes. The real world application in this paper concerns the reconstruction of human anatomical structures. Experimental results show that the method proposed can produce meshes that approximate very well the shape of the target anatomical structures with a smaller number of vertices then the original object. We compared our results with a well established geometric method (Power Crust) and, according to the metrics considered, the proposed method achieved better results.