IMAGE-RECONSTRUCTION USING PROJECTION ONTO CONVEX-SETS, MODEL CONSTRAINTS, AND LINEAR PREDICTION-THEORY FOR THE REMOVAL OF PHASE, MOTION, AND GIBBS ARTIFACTS IN MAGNETIC-RESONANCE AND ULTRASOUND IMAGING
IMAGE-RECONSTRUCTION USING PROJECTION ONTO CONVEX-SETS, MODEL CONSTRAINTS, AND LINEAR PREDICTION-THEORY FOR THE REMOVAL OF PHASE, MOTION, AND GIBBS ARTIFACTS IN MAGNETIC-RESONANCE AND ULTRASOUND IMAGING
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DOI：
10.1117/12.55624
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发表时间：
1990-05-01
影响因子：
1.3
通讯作者：
BOADA, F
中科院分区：
文献类型：
--
作者：
HAACKE, EM;LIANG, ZP;BOADA, F
傅里叶变换是磁共振成像（MRI）中使用的标准图像重建技术，它是超声成像（US）中逆散射形式的一个组成部分。不幸的是，由有限采样窗口或相位系统误差引起的吉布斯振铃等伪影可能会严重阻碍傅里叶变换图像的解释。此外，当只需要几个参数来表征目标函数时，它可能不是最佳信噪比的最佳技术。本文提出了一种基于先验约束的参数估计重建方案，用于MRI和US中去除吉布斯振铃，提高分辨率和信噪比。投影到凸集理论也被用于在部分傅里叶成像中再生未收集的数据，模型约束被用于纠正MRI中的运动伪影。发现这些方法不需要不切实际的信噪比值，并且很可能在未来的应用中证明是实用的。
The Fourier transform is the standard image reconstruction technique used in magnetic resonance imaging (MRI), and it is an integral part of the inverse scattering formalism in ultrasound (US) imaging. Unfortunately, artifacts such as Gibbs ringing induced by a finite sampling window or systematic errors in phase may significantly impede the interpretation of the resulting Fourier transform images. Further, when only a few parameters are needed to characterize the object function, it is likely not to be the best technique for optimal signal-to-noise. In this paper, the application of a parameter estimation reconstruction scheme using a priori constraints to remove Gibbs ringing and improve resolution and signal-to-noise is presented for MRI and US. Projection onto convex set theory is also used to regenerate uncollected data in partial Fourier imaging, and model constraints are used to correct motion artifacts in MRI. These methods are found not to require unrealistic values of the signal-to-noise ratio and are likely to prove practical in future applications.