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Three-dimensional support function estimation and application for projection magnetic resonance imaging

✍ Scribed by Jens Gregor; Fernando R. Rannou

Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
373 KB
Volume
12
Category
Article
ISSN
0899-9457

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✦ Synopsis

Abstract

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

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