title: 3D reconstruction of tomographic images applied to 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 an automatic method whose interpolation stage is based on a previous matching stage using Delaunay Triangulation. The reconstruction approach uses an extrapolation procedure that permits appropriate treatment of the boundaries of the object under analysis.
authors.affiliation: Computer Science Department, Mathematics Institute at So Carlos, University of So Paulo, Brazil.
authors.forename: A J
authors.initials: AJ
authors.lastname: Traina
authors.forename: A H
authors.initials: AH
authors.lastname: Prado
authors.forename: J M
authors.initials: JM
authors.lastname: Bueno
mesh_terms: D000465:Algorithms; D003625:Data Collection / Q000295:instrumentation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation*; D019047:Phantoms, Imaging; D012984:Software