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Noise reduction in magnetic resonance imaging
Author(s) -
Brosnan Thomas,
Wright Graham,
Nishimura Dwight,
Cao Qizhi,
Macovski Albert,
Sommer F. Graham
Publication year - 1988
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.1910080404
Subject(s) - noise reduction , projection (relational algebra) , reduction (mathematics) , noise (video) , computer science , magnetic resonance imaging , image resolution , resolution (logic) , computer vision , artificial intelligence , signal to noise ratio (imaging) , image (mathematics) , algorithm , mathematics , telecommunications , radiology , medicine , geometry
This paper describes a noise‐reduction technique applicable to multiple‐measurement systems. This method, known as measurement‐dependent filtering (or MDF), can be used to advantage in a number of MRI applications. We present the general theory for one of these applications, material‐canceled projection imaging. We discuss and show the results of MDF for material‐canceled images as well as for heavily T 2 ‐weighted spinecho images and computed T 2 images. Significant improvements in SNR are demonstrated while spatial resolution is preserved. © 1988 Academic Press, Inc.