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Noise correlations in data simultaneously acquired from multiple surface coil arrays
Author(s) -
Hayes Cecil E.,
Roemer Peter B.
Publication year - 1990
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910160202
Subject(s) - electromagnetic coil , noise (video) , sensitivity (control systems) , acoustics , surface (topology) , signal to noise ratio (imaging) , composite number , phase (matter) , signal (programming language) , optics , computer science , image (mathematics) , physics , mathematics , algorithm , artificial intelligence , electronic engineering , geometry , engineering , quantum mechanics , programming language
Multiple images acquired simultaneously from an array of surface coils can be combined to give a composite image with an improved signal‐to‐noise ratio (SNR) and a large field of view. The composite images' SNR can be optimized by taking advantage of noise correlations between coils and phase shifts induced by surface coil reception. Methods are derived for making optimal composite images with uniform noise or with uniform sensitivity. A simplified model is used to provide an intuitive understanding of the interaction of noise correlation and phase shift phenomena. © 1990 Academic Press, Inc.