Belaroussi Boubakeur, Milles Julien, Carme Sabin, Zhu Yue Min, Benoit-Cattin Hugues
CREATIS, UMR CNRS 5515, INSERM U 630, INSA Lyon, Bât. Blaise Pascal, 69621 Villeurbanne Cedex, France.
Med Image Anal. 2006 Apr;10(2):234-46. doi: 10.1016/j.media.2005.09.004. Epub 2005 Nov 22.
Magnetic resonance imaging is a popular and powerful non-invasive imaging technique. Automated analysis has become mandatory to efficiently cope with the large amount of data generated using this modality. However, several artifacts, such as intensity non-uniformity, can degrade the quality of acquired data. Intensity non-uniformity consists in anatomically irrelevant intensity variation throughout data. It can be induced by the choice of the radio-frequency coil, the acquisition pulse sequence and by the nature and geometry of the sample itself. Numerous methods have been proposed to correct this artifact. In this paper, we propose an overview of existing methods. We first sort them according to their location in the acquisition/processing pipeline. Sorting is then refined based on the assumptions those methods rely on. Next, we present the validation protocols used to evaluate these different correction schemes both from a qualitative and a quantitative point of view. Finally, availability and usability of the presented methods is discussed.
磁共振成像是一种流行且强大的非侵入性成像技术。为了有效处理使用这种模态生成的大量数据，自动分析已成为必需。然而，诸如强度不均匀性等一些伪影会降低采集数据的质量。强度不均匀性表现为整个数据中与解剖结构无关的强度变化。它可能由射频线圈的选择、采集脉冲序列以及样本本身的性质和几何形状引起。已经提出了许多方法来校正这种伪影。在本文中，我们对现有方法进行了概述。我们首先根据它们在采集/处理流程中的位置对其进行分类。然后根据这些方法所依赖的假设对分类进行细化。接下来，我们从定性和定量的角度介绍用于评估这些不同校正方案的验证协议。最后，讨论了所提出方法的可用性和实用性。
