title: Adapting magnetic resonance imaging performance using nonlinear encoding fields.
abstract: Nonlinear spatial encoding fields for magnetic resonance imaging (MRI) hold great promise to improve on the linear gradient approaches. Unlike the linear techniques, the nonlinear encoding leads to a spatially varying signal-to-noise ratio (SNR). This paper demonstrates the possibility to tailor the encoding fields to focus the high SNR areas to a region of interest. To achieve this, a metric is derived to quantify the spatially dependent performance for arbitrary encoding schemes.
authors.forename: Kelvin J
authors.initials: KJ
authors.lastname: Layton
authors.forename: Mark
authors.initials: M
authors.lastname: Morelande
authors.forename: Peter M
authors.initials: PM
authors.lastname: Farrell
authors.forename: Bill
authors.initials: B
authors.lastname: Moran
authors.forename: Leigh A
authors.initials: LA
authors.lastname: Johnston
mesh_terms: D001921:Brain / Q000033:anatomy & histology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008962:Models, Theoretical