Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1807027 | Magnetic Resonance Imaging | 2010 | 14 Pages |
Abstract
A model for the distribution of the sample local variance (SLV) of magnetic resonance data is proposed. It is based on a bimodal Gamma distribution, whose maxima are related to the signal and background areas of the image. The model is valid for single- and multiple-coil systems. The proposed distribution allows us to characterize some signal/background properties in MR data. As an example, the model is used to study the effect of the background size over noise estimation techniques and a method to test the validity of background-based noise estimators is presented.
Keywords
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Condensed Matter Physics
Authors
Santiago Aja-Fernández, Gonzalo Vegas-Sánchez-Ferrero, Antonio Tristán-Vega,