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Low‐frequency restoration
Author(s) -
Jackson John,
Macovski Albert,
Nishimura Dwight
Publication year - 1989
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.1910110213
Subject(s) - quantization (signal processing) , converters , computer science , spatial frequency , noise (video) , image restoration , artificial intelligence , nuclear magnetic resonance , physics , computer vision , optics , acoustics , image (mathematics) , image processing , power (physics) , quantum mechanics
In magnetic resonance imaging, if the object of interest is known to be spatially bounded within the image field‐of‐view. then the high‐intensity, low spatial frequencies can be determined by postprocessing. This allows the system receiver gain to be increased, thereby decreasing the quantization noise from the analog‐to‐digital converters. No imaging sequence modifications are required. © 1989 Academic Press. Inc.