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

被引：14

作者：

Aja-Fernandez, Santiago ^{[1
]}

Vegas-Sanchez-Ferrero, Gonzalo ^{[1
]}

Tristan-Vega, Antonio ^{[1
]}

机构：

[1] Univ Valladolid, LPI, ETSI Telecommun, Valladolid, Spain

来源：

MAGNETIC RESONANCE IMAGING | 2010年 / 28卷 / 05期

关键词：

Background; MRI models; Sample local variance; Noise estimation; NOISE; IMAGES; BRAIN;

D O I：

10.1016/j.mri.2010.02.006

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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. (C) 2010 Elsevier Inc. All rights reserved.

引用

收藏

页码：739 / 752

页数：14

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