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首页> 外文期刊>Journal of magnetic resonance imaging: JMRI >Spiral imaging artifact reduction: a comparison of two k-trajectory measurement methods.
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Spiral imaging artifact reduction: a comparison of two k-trajectory measurement methods.

机译:螺旋成像伪影减少:两种k轨迹测量方法的比较。

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摘要

PURPOSE: To compare an external sensor-based k-space calibration technique with a routine precalibration method for quantification of method accuracy and reduction of spiral imaging artifacts to obtain improved image quality. MATERIALS AND METHODS: Recently, magnetic field monitoring (MFM) has been introduced as a new calibration technique of gradient field-related imperfections. External sensors are placed near the observed object to measure magnetic field variations during image acquisition. The measured field data are used to determine the actual k-space trajectory and for image reconstruction to reduce artifacts. In the past, precalibration techniques have been proposed where the k-space trajectory is measured by means of special calibration sequences directly in the object of interest. In this study, MFM is introduced as an effective correction technique for spiral imaging. On the basis of a comparison, whether MFM is as viable as the chosen reference method presented by Duyn et al (J Magn Reson [1998] 132:150-153) is analyzed in terms of detecting imperfections of spatial encoding gradients in order to correct for these in image reconstruction. As this technique is used as a reference method, it is given the acronym Duyn calibration technique (DCT). MFM and DCT are compared and timing delays, k-space offsets, eddy current effects, k-trajectory error propagation, image distortions, and signal-to-noise ratio were determined for different spiral sequences in two different phantoms. RESULTS: Both techniques effectively detect k-space offsets and k-trajectory error propagation and correct for general error sources like timing delays. In object border areas, artifacts such as deformations and blurring were dramatically reduced. Within all tested categories, MFM performed as well as DCT. In terms of k-trajectory error propagation and image distortion quantification, MFM was more accurate. CONCLUSION: We introduce MFM as an effective and accurate correction technique for spiral imaging, where a comparison of MFM and DCT has shown that both techniques are accurate correction techniques for spiral imaging.
机译:目的:将基于外部传感器的k空间校准技术与常规预校准方法进行比较,以量化方法的准确性并减少螺旋成像伪像,从而获得改进的图像质量。材料与方法:最近,磁场监测(MFM)已经作为梯度场相关缺陷的一种新的校准技术被引入。外部传感器放置在被观察物体附近,以测量图像采集期间的磁场变化。测量的场数据用于确定实际的k空间轨迹,并用于图像重建以减少伪像。过去,已经提出了预校准技术,其中通过特殊的校准序列直接在目标物体上测量k空间轨迹。在这项研究中,MFM被引入为螺旋成像的有效校正技术。在比较的基础上,就检测空间编码梯度的不完善之处来分析MFM是否与Duyn等人(J Magn Reson [1998] 132:150-153)提出的参考方法一样可行。对于这些图像重建。由于该技术用作参考方法,因此使用了缩写Duyn校准技术(DCT)。比较了MFM和DCT,并针对两个不同体模中的不同螺旋序列确定了时延,k空间偏移,涡流效应,k轨迹误差传播,图像失真和信噪比。结果:两种技术都可以有效地检测k空间偏移和k轨迹误差传播,并校正诸如定时延迟之类的一般误差源。在物体边界区域,诸如变形和模糊之类的伪影大大减少了。在所有测试类别中,MFM的表现均好于DCT。在k轨迹误差传播和图像失真量化方面,MFM更准确。结论:我们将MFM作为一种有效且精确的螺旋成像校正技术进行了介绍,其中MFM和DCT的比较表明这两种技术都是螺旋成像的精确校正技术。

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