About the background distribution in MR data: a local variance study

作者：Aja Fernandez Santiago^*; Vegas Sanchez Ferrero Gonzalo; Tristan Vega Antonio

来源：Magnetic Resonance Imaging, 2010, 28(5): 739-752.

DOI：10.1016/j.mri.2010.02.006

• Background
• MRI models
• Sample local variance
• Noise estimation

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.

• 出版日期2010-6