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日常实践中的新型磁共振序列:磁敏感加权成像。一篇图文并茂的文章。

New MR sequences in daily practice: susceptibility weighted imaging. A pictorial essay.

作者信息

Gasparotti Roberto, Pinelli Lorenzo, Liserre Roberto

出版信息

Insights Imaging. 2011 Jun;2(3):335-347. doi: 10.1007/s13244-011-0086-3. Epub 2011 Mar 26.

Abstract

BACKGROUND

Susceptibility-weighted imaging (SWI) is a relatively new magnetic resonance (MR) technique that exploits the magnetic susceptibility differences of various tissues, such as blood, iron and calcification, as a new source of contrast enhancement. This pictorial review is aimed at illustrating and discussing its main clinical applications. METHODS: SWI is based on high-resolution, three-dimensional (3D), fully velocity-compensated gradient-echo sequences using both magnitude and phase images. A phase mask obtained from the MR phase images is multiplied with magnitude images in order to increase the visualisation of the smaller veins and other sources of susceptibility effects, which are displayed at best after post-processing of the 3D dataset with the minimal intensity projection (minIP) algorithm. RESULTS: SWI is very useful in detecting cerebral microbleeds in ageing and occult low-flow vascular malformations, in characterising brain tumours and degenerative diseases of the brain, and in recognizing calcifications in various pathological conditions. The phase images are especially useful in differentiating between paramagnetic susceptibility effects of blood and diamagnetic effects of calcium. SWI can also be used to evaluate changes in iron content in different neurodegenerative disorders. CONCLUSION: SWI is useful in differentiating and characterising diverse brain disorders.

摘要

背景

磁敏感加权成像(SWI)是一种相对较新的磁共振(MR)技术,它利用各种组织(如血液、铁和钙化)的磁敏感性差异作为新的对比增强源。本图像综述旨在阐述和讨论其主要临床应用。方法:SWI基于高分辨率三维(3D)、完全速度补偿梯度回波序列,使用幅值和相位图像。从MR相位图像获得的相位掩膜与幅值图像相乘,以增强较小静脉和其他磁敏感效应源的可视化,这些在使用最小强度投影(minIP)算法对3D数据集进行后处理后显示效果最佳。结果:SWI在检测衰老过程中的脑微出血和隐匿性低流量血管畸形、表征脑肿瘤和脑退行性疾病以及识别各种病理状况下的钙化方面非常有用。相位图像在区分血液的顺磁敏感效应和钙的抗磁效应方面特别有用。SWI还可用于评估不同神经退行性疾病中铁含量的变化。结论:SWI在区分和表征各种脑部疾病方面很有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/162b/3288993/3ff51dcf6ed7/13244_2011_86_Fig1_HTML.jpg

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