3D reconstruction of tomographic images applied to largely spaced slices.
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.
Traina
A J
AJ
Computer Science Department, Mathematics Institute at So Carlos, University of So Paulo, Brazil.
Prado
A H
AH
Bueno
J M
JM
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