Wang S, Luo L, Liang X, Gui Z, Chen C
Dept. of Biol. & Medical Eng., Southeast Univ., Nanjing.
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:1371-3. doi: 10.1109/IEMBS.2005.1616683.
The signal variations induced by respiration and cardiac motion decrease the statistical significance in functional MRI data analysis. Significant components of these fluctuations are aliased into the activation spectrum in standard multi-slice imaging protocols. A method of estimation and removal physiological noise in image space is reported. Based on reordering the data from slice ordering to time ordering, the aliased physiological information is available in multi-slice magnitude images. Then physiological noise can be estimated and removed adaptively using signal projecting technique with the actual functional signal preserved.
呼吸和心脏运动引起的信号变化降低了功能磁共振成像数据分析中的统计学显著性。在标准的多层成像协议中，这些波动的重要成分被混叠到激活谱中。本文报道了一种在图像空间中估计和去除生理噪声的方法。基于将数据从切片顺序重排为时间顺序，多层幅度图像中可获得混叠的生理信息。然后，可以使用信号投影技术自适应地估计和去除生理噪声，同时保留实际的功能信号。
