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3D reconstruction of magnetic resonance imaging using largely spaced slices
Maribor, SLOVENIA March 11-March 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.59641910th IEEE Symposium on Computer-Based ...
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A.J.M. Traina, Dept. of Comput. Sci., Sao Paulo Univ., Brazil
A.H.M.A. Prado, Dept. of Comput. Sci., Sao Paulo Univ., Brazil
J.M. Bueno, Dept. of Comput. Sci., Sao Paulo Univ., Brazil
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.
Index Terms:
biomedical NMR; 3D image reconstruction; magnetic resonance imaging; widely spaced slices; frequency domain; data acquisition; fast Fourier transform algorithm; tomographic image interpolation; tomographic slice sequence; isotropic volume data set; matching stage; Delaunay triangulation
Citation:
A.J.M. Traina, A.H.M.A. Prado, J.M. Bueno, "3D reconstruction of magnetic resonance imaging using largely spaced slices," cbms, pp.114, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997
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