Image reconstruction: an overview for clinicians.
Image reconstruction: an overview for clinicians.
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DOI：
10.1002/jmri.24687
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发表时间：
2015-03
影响因子：
4.4
通讯作者：
Kellman, Peter
中科院分区：
文献类型：
--
作者：
Hansen, Michael S.;Kellman, Peter
关键词：
图像重建在磁共振成像的临床应用中起着至关重要的作用。MRI原始数据不是在图像空间中采集的，图像重建过程的作用是将采集的原始数据转换为可在临床上解释的图像。该过程涉及多个信号处理步骤，每个步骤都对图像质量有影响。这篇评论解释了用于描述和量化图像质量的信噪比和点扩散函数方面的基本术语。在这种情况下，几个常用的图像重建组件进行了讨论。所涵盖的图像重建组件包括用于相控阵数据采集的噪声预白化、重建方形像素所需的插值、用于减少吉布斯振铃伪影的原始数据滤波、将原始数据与图像空间连接的傅立叶变换以及相控阵线圈组合。相控阵线圈的治疗包括作为线圈组合技术的并行成像的一般解释。该综述针对无信号处理经验的读者，应使他们了解基本图像重建步骤在临床图像形成中的作用以及如何描述所得图像质量。
Image reconstruction plays a critical role in the clinical use of magnetic resonance imaging. The MRI raw data is not acquired in image space and the role of the image reconstruction process is to transform the acquired raw data into images that can be interpreted clinically. This process involves multiple signal processing steps that each have an impact on the image quality. This review explains the basic terminology used for describing and quantifying image quality in terms of signal to noise ratio and point spread function. In this context, several commonly used image reconstruction components are discussed. The image reconstruction components covered include noise pre-whitening for phased array data acquisition, interpolation needed to reconstruct square pixels, raw data filtering for reducing Gibbs ringing artifacts, Fourier transforms connecting the raw data with image space, and phased array coil combination. The treatment of phased array coils includes a general explanation of parallel imaging as a coil combination technique. The review is aimed at readers with no signal processing experience and should enable them to understand what role basic image reconstruction steps play in the formation of clinical images and how the resulting image quality is described.
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