Segmentation of Computed Tomography 3D Images Using Partial Differential Equations
Miguel Alemán-Flores, Luis Álvarez, Patricia Alem ́n-Flores, Rafael Fuentes-Pavón · 2011
The analysis of medical images, such as Computed Tomography (CT) Images, increasingly requires an automatic processing for region enhancement, segmentation, 3D reconstruction and many other purposes. This paper presents a framework for performing these tasks using partial differential equations in 3D images. From a set of partial differential equations, we obtain a method for noise reduction filtering with edge preservation, region enhancement through the discrimination of the relevant density values, contour refinement and 3D reconstruction.