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采用块区域失谐校正的快速螺旋两点 Dixon 技术。

Fast Spiral two-point Dixon technique using block regional off-resonance correction.

作者信息

Moriguchi Hisamoto, Lewin Jonathan S, Duerk Jeffrey L

机构信息

Department of Radiology, University Hospitals of Cleveland, OH 44106, USA.

出版信息

Magn Reson Med. 2004 Dec;52(6):1342-50. doi: 10.1002/mrm.20269.

Abstract

The Spiral two-point Dixon (Spiral 2PD) technique has recently been proposed as a method for unambiguous water-fat decomposition in spiral imaging. It also corrects for off-resonance blurring artifacts using only two data sets. In the Spiral 2PD technique, several predetermined off-resonance frequencies are tested to both separate water and fat signals and deblur the decomposed images. Unfortunately, the algorithm is computationally quite intensive since the range of tested frequencies must be set sufficiently large to span the full range of anticipated B(0) variation over the scanned objects. The block regional off-resonance correction (BRORC) algorithm corrects for off-resonance blurring artifacts block by block through the reconstructed image and usually provides several times higher computational efficiency than the conventional frequency-segmented off-resonance correction algorithm. This work shows that both water-fat decomposition and blurring artifact correction can be performed block by block using two spiral images with different TEs and that this new technique (BRORC-Spiral2PD technique) significantly improves the computational efficiency of other Spiral 2PD algorithms, opening new opportunities for spiral imaging.

摘要

螺旋两点狄克逊(Spiral 2PD)技术最近被提出作为一种在螺旋成像中进行明确水脂分解的方法。它还仅使用两组数据集来校正失谐模糊伪影。在Spiral 2PD技术中,测试几个预定的失谐频率以分离水和脂肪信号并对分解后的图像进行去模糊。不幸的是,该算法计算量相当大,因为测试频率范围必须设置得足够大,以涵盖扫描对象上预期的B(0)变化的全范围。块区域失谐校正(BRORC)算法通过重建图像逐块校正失谐模糊伪影,并且通常比传统的频率分段失谐校正算法提供几倍更高的计算效率。这项工作表明,使用具有不同回波时间(TE)的两幅螺旋图像可以逐块进行水脂分解和模糊伪影校正,并且这种新技术(BRORC-Spiral2PD技术)显著提高了其他Spiral 2PD算法的计算效率,为螺旋成像开辟了新机遇。

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