3D reconstruction of magnetic resonance imaging using largely spaced slices

Abstract

This paper presents a full reconstruction process of magnetic resonance images. The first step is to bring the acquired data from the frequency domain, using a fast Fourier transform algorithm. A tomographic image interpolation is then used to transform a sequence of tomographic slices in an isotropic volume data set, a process also called 3D reconstruction. This work describes a method the interpolation stage of which is based on a previous matching stage using Delaunay triangulation.