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基于无参考方法的乳腺扩散加权成像奈奎斯特鬼校正。

Nyquist ghost correction of breast diffusion weighted imaging using referenceless methods.

机构信息

Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota.

Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota.

出版信息

Magn Reson Med. 2019 Apr;81(4):2624-2631. doi: 10.1002/mrm.27563. Epub 2018 Nov 2.

Abstract

PURPOSE

Correction of Nyquist ghosts for single-shot spin-echo EPI using the standard 3-line navigator often fails in breast DWI because of incomplete fat suppression, respiration, and greater B inhomogeneity. The purpose of this work is to compare the performance of the 3-line navigator with 4 data-driven methods termed "referenceless methods," including 2 previously proposed in literature, 1 introduced in this work, and finally a combination of all 3, in breast DWI.

METHODS

Breast DWI was acquired for 41 patients with SS SE-EPI. Raw data was corrected offline with the standard 3-line navigator and 4 referenceless methods, which modeled the ghost as a linear phase error and minimized 3 unique cost functions as well as the median solution of all 3. Ghost levels were evaluated based on the signal intensity in the background region, defined by a mask auto-generated from a T -weighted anatomical image. Ghost intensity measurements were fit to a linear mixed model including ghost correction method and b-value as covariates.

RESULTS

All 4 referenceless methods outperformed the standard 3-line navigator with statistical significance at all 4 b-values tested (b = 0, 100, 600, and 800 s/mm ).

CONCLUSIONS

Referenceless methods provide a robust way to reduce Nyquist ghosts in breast DWI without the need for any additional calibration scan.

摘要

目的

在单次激发自旋回波 EPI 中使用标准的 3 线导航器校正奈奎斯特鬼影,由于不完全的脂肪抑制、呼吸和更大的 B 不均匀性,在乳腺 DWI 中经常失败。本研究的目的是比较 3 线导航器与 4 种称为“无参考方法”的数据驱动方法的性能,包括文献中之前提出的 2 种、本研究中提出的 1 种,以及最终的 3 种方法的组合,在乳腺 DWI 中的性能。

方法

对 41 例 SS SE-EPI 患者进行乳腺 DWI 采集。原始数据在离线时使用标准的 3 线导航器和 4 种无参考方法进行校正,这些方法将鬼影建模为线性相位误差,并最小化 3 个独特的代价函数以及所有 3 个的中位数解。根据背景区域(由 T1 加权解剖图像自动生成的蒙版定义)的信号强度评估鬼影水平。鬼影强度测量值拟合到包含鬼影校正方法和 b 值作为协变量的线性混合模型。

结果

所有 4 种无参考方法在所有 4 个测试的 b 值(b=0、100、600 和 800 s/mm)上均显著优于标准 3 线导航器。

结论

无参考方法为减少乳腺 DWI 中的奈奎斯特鬼影提供了一种稳健的方法,无需任何额外的校准扫描。

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