LPI, ETSI Telecomunicacion, Universidad de Valladolid, Valladolid, Spain.
Magn Reson Imaging. 2010 Jun;28(5):739-52. doi: 10.1016/j.mri.2010.02.006. Epub 2010 Apr 24.
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.
提出了一种用于磁共振数据样本局部方差 (SLV) 分布的模型。它基于双峰伽马分布，其最大值与图像的信号和背景区域相关。该模型适用于单线圈和多线圈系统。所提出的分布允许我们描述磁共振数据中的一些信号/背景特性。例如，该模型用于研究背景大小对噪声估计技术的影响，并提出了一种测试基于背景的噪声估计器有效性的方法。
