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Three‐dimensional support function estimation and application for projection magnetic resonance imaging
Author(s) -
Gregor Jens,
Rannou Fernando R.
Publication year - 2002
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.10007
Subject(s) - preprocessor , computer science , projection (relational algebra) , focus (optics) , algorithm , function (biology) , relaxation (psychology) , magnetic resonance imaging , sampling (signal processing) , basis function , artificial intelligence , computer vision , mathematics , physics , mathematical analysis , optics , medicine , psychology , social psychology , radiology , filter (signal processing) , evolutionary biology , biology
Magnetic resonance imaging (MRI) of nuclei that have very short relaxation times is conveniently based on spherical sampling. We have presented a least squares framework for reconstructing three‐dimensional (3D) source distribution images from such data. In this paper, we describe a practical algorithm for 3D support function estimation, which forms the basis for a method called focus of attention. By essentially identifying and eliminating equations and unknowns that merely represent background data, this data‐driven preprocessing scheme effectively reduces the computational burden associated with our algebraic approach to projection MRI. © 2002 John Wiley & Sons, Inc. Int J Imaging Syst Technol 12, 43–50, 2002