An improved MRI reconstruction method based on table-lookup gridding

Yanni Peng, Q. Liu
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引用次数: 1

Abstract

Radial encoding is often performed for fast data acquisition in magnetic resonance imaging (MRI). Therefore, the gridding method, which is a kind of algorithm for Fast Fourier Transform, is widely used in fast MRI reconstruction. In this paper, an improved gridding method has been utilized to 2D MRI reconstruction, which precomputes an 1D finely sampled table of a high-accuracy interpolator and then uses separable bilinear interpolation by look-up table. Experimental comparisons are made by assessing the performance of the direct reconstruction, the conventional KB gridding and the proposed method. The experimental results show that the proposed method provides high accuracy, fast computation, and dramatic memory saving.
一种改进的基于表查找网格的MRI重建方法
在磁共振成像(MRI)中,径向编码通常用于快速数据采集。因此,网格化方法作为一种快速傅里叶变换算法,在MRI快速重建中得到了广泛的应用。本文将一种改进的网格化方法应用于二维MRI重构,该方法预先计算出高精度插值器的一维精细采样表,然后通过查找表进行可分双线性插值。通过对直接重建、传统KB网格和本文方法的性能进行了实验比较。实验结果表明,该方法具有精度高、计算速度快、节省内存等优点。
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