3D reconstruction of anatomical surfaces from unorganized range data

Three-dimensional range data acquired through digital scanning of anatomical surfaces are used in this study as test material for the validation of an innovative approach for the reconstruction of closed surfaces. Although based on a straightforward theoretical approach, the proposed method exhibits an extreme accuracy in the reconstruction of a variety of target surfaces of different topologies. The method does not require any additional information about the target surface than the raw range data and is robust to noise. A triangular mesh approximates the target surface. Also, a few examples on the possible biomedical applications of the reconstructed surface are provided in this paper.