定量肝脏脂肪的波谱自动后处理算法

目前质子磁共振波谱技术可用于肝脏脂肪含量的定量检测.利用快速T₂校正多回波波谱采集序列可一次屏气获得一组不同回波时间的波谱数据，然后通过谱线拟合和分析得到质子密度脂肪分数.波谱数据后处理一般通过第三方软件，处理步骤复杂，需要消耗大量的时间，而且有不可避免的人为控制因素干扰.本文开发了自动波谱后处理算法，可以实现谱线拟合、T₂衰减校正和脂肪分数计算，并进一步采用水脂模型实验和人体肝脏脂肪检测实验对算法的可行性和准确性进行了评估.研究结果显示，本文提出的自动定量算法计算得到的质子密度脂肪分数和jMRUI软件处理得到的结果高度一致，但其操作简单，更适用于脂肪肝临床检测.

An Auto-Processing Algorithm for Liver Fat Quantification

Magnetic resonance spectroscopy (MRS) is useful for rapid and robust liver fat quantification. MR spectra of liver can be acquired in a single breath-hold with the high-speed multi-echo stimulated echo acquisition mode, from which T₂-corrected liver proton density fat fraction (PDFF) can be derived. However, the widespread application of this method is hampered by the cumbersome post-processing procedures for the spectroscopy data. In this work, an automated algorithm for liver fat quantification from multi-echo spectroscopy data was developed. The feasibility and accuracy of the algorithm were evaluated with fat-water phantoms experiments and human liver experiments. The results demonstrated excellent correlation and agreement between the PDFF measurements with the proposed algorithm and those obtained with the jMRUI software.