Automatic Marching Cubes for Improving 3D Medical Images Reconstruction-

The Marching Cubes algorithm is based on the estimate of the isovalue in order to determine all the pixels that are belonging to the volume to be reconstructed. This estimation is done by the user in an interactive and way without any orientation; this is no longer an intuitive process. Solutions are proposed to detect more than one isovalue and have been used to display multiple isosurfaces and not to adjust or automatically determine isovalue. Other solutions propose to explore histogram to estimate isovalue automatically; those remain insufficient because they still require user intervention. The proposed method acts directly in the isovalue estimation phase. In fact, we propose to make this estimate by using automatic methods of sampling, which have shown their performance in estimating a threshold in several works. This paper proposes to make the use of existing automated isovalue selection methods that take into account histogram and the dynamics of the image. The automatic Marching Cubes algorithm reduces user interaction and makes the selection process more intuitive. The obtained results will show that this adaptation minimizes the computing time and that the obtained volumes are of better quality than those obtained by the classical Marching Cubes algorithm.