人脑 GABA-MRS 中回顾性运动校正方法研究

运动会影响? -氨基丁酸(GABA)磁共振谱图质量，因此，数据采集后应对是否运动加以辨别并对运动的波谱数据作相应处理．该文报道了 GABA 磁共振活体波谱测量中回顾性运动校正后处理方法．该后处理方法通过残余水峰来判断被试扫描过程中的头部运动，重建时舍弃受运动影响的数据，从而改善最终得到的编辑谱的质量．同时该文将这种运动校正方法集成到 MEGA-PRESS 序列的重建模块中，使得扫描完成后能直接得到运动校正后的编辑谱，并可采用 LCModel 对编辑谱进行定量分析．研究结果表明，这种方法可以有效去除受运动影响的数据，使得最终得到的谱图质量明显改善，从而为医学诊断和研究提供便利．

Retrospective Motion Correction in GABA-Editing Magnetic Resonance Spectroscopy Using the Residual Water Signals

Motions occurring duringin vivo magnetic resonance spectroscopy acquisition limit the quality of the spectra and their diagnostic value. Subtraction-based spectral editing techniques, such asJ-difference editing, are especially prone to motion artifacts, causing false peaks or incomplete elimination of the background. In this study, a retrospective motion correction post-processing method was introduced to analyze GABA-edited spectra acquired by a MEGA point-resolved spectroscopy (MEGA-PRESS) sequence. Head motion during each acquisition was detected and recorded by the residual water signal; the motion-corrupted data were identified and excluded prior to averaging. The gain in spectral quality by using the proposed method was analyzed using the LCModel program. The results showed that the proposed method is an effective way to discard acquisitions corrupted by motion, and to improve spectral quality.