title: Noise reduction in magnetic resonance imaging.
abstract: 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 T2-weighted spin-echo images and computed T2 images. Significant improvements in SNR are demonstrated while spatial resolution is preserved.
authors.affiliation: Magnetic Resonance Systems Research Laboratory, Stanford University, California 94305.
authors.forename: T
authors.initials: T
authors.lastname: Brosnan
authors.forename: G
authors.initials: G
authors.lastname: Wright
authors.forename: D
authors.initials: D
authors.lastname: Nishimura
authors.forename: Q Z
authors.initials: QZ
authors.lastname: Cao
authors.forename: A
authors.initials: A
authors.lastname: Macovski
authors.forename: F G
authors.initials: FG
authors.lastname: Sommer
mesh_terms: D004560:Electricity; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008433:Mathematics