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Spiral reconstruction by regridding to a large rectilinear matrix: A practical solution for routine systems
Author(s) -
Oesterle Claudia,
Markl Michael,
Strecker Ralph,
Kraemer Falk M.,
Hennig Jürgen
Publication year - 1999
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/(sici)1522-2586(199907)10:1<84::aid-jmri12>3.0.co;2-d
Subject(s) - scanner , spiral (railway) , computer science , interpolation (computer graphics) , iterative reconstruction , computer vision , algorithm , fast fourier transform , artificial intelligence , image (mathematics) , mathematics , mathematical analysis
Spiral trajectories offer a number of attractive features for fast imaging. A practical problem for the implementation on routine magnetic resonance scanners is the lack of appropriate and efficient reconstruction algorithms in the available scanner software. In this paper, a simple way to implement a spiral reconstruction algorithm is described that avoids the data interpolation required by gridding approaches commonly used. Using the optimized fast Fourier transform built into each scanner, it offers image reconstruction times of less than 1 second and thus allows the introduction of spiral imaging to routine scanners.J. Magn. Reson. Imaging 1999;10:84–92. © 1999 Wiley‐Liss, Inc.