3D reconstruction of magnetic resonance imaging using 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 isotrop...

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Bibliographic Details
Main Authors: Traina, A.J.M., Prado, A.H.M.A., Bueno, J.M.
Format: Conference Proceeding
Language:English
Subjects:
Computer science
Fast Fourier transforms
Frequency domain analysis
Humans
Image reconstruction
Interpolation
Magnetic resonance
Magnetic resonance imaging
Mathematics
Tomography
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Summary: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.
ISSN:1063-7125
DOI:10.1109/CBMS.1997.596419