Serrai Hacene, Senhadji Lotfi
Institute for Biodiagnostics, National Research Council, Winnipeg, MB, Canada.
J Magn Reson. 2005 Nov;177(1):22-30. doi: 10.1016/j.jmr.2005.07.006.
This paper describes a new magnetic resonance spectroscopic imaging (MRSI) technique based upon the discrete wavelet transform to reduce acquisition time and cross voxel contamination. Prototype functions called wavelets are used in wavelet encoding to localize defined regions in localized space by dilations and translations. Wavelet encoding in MRSI is achieved by matching the slice selective RF pulse profiles to a set of dilated and translated wavelets. Single and dual band slice selective excitation and refocusing pulses, with profiles resembling Haar wavelets, are used in a spin-echo sequence to acquire 2D-MRSI wavelet encoding data. The 2D space region is spanned up to the desired resolution by a proportional number of dilations (increases in the localization gradients) and translations (frequency shift) of the Haar wavelets (RF pulses). Acquisition time is reduced by acquiring successive MR signals from regions of space with variable size and different locations with no requirement for a TR waiting time between acquisitions. An inverse wavelet transform is performed on the data to produce the correct spatial MR signal distribution.
本文描述了一种基于离散小波变换的新型磁共振波谱成像(MRSI)技术,用于减少采集时间和体素间交叉污染。在小波编码中使用称为小波的原型函数,通过伸缩和平移在局部空间中定位定义区域。MRSI中的小波编码是通过将切片选择性射频脉冲轮廓与一组伸缩和平移的小波进行匹配来实现的。在自旋回波序列中使用具有类似于哈尔小波轮廓的单波段和双波段切片选择性激发和重聚焦脉冲,以获取二维MRSI小波编码数据。通过哈尔小波(射频脉冲)的伸缩(定位梯度增加)和平移(频率偏移)的相应数量,将二维空间区域扩展到所需分辨率。通过从具有可变大小和不同位置的空间区域采集连续的磁共振信号来减少采集时间,且采集之间不需要TR等待时间。对数据执行逆小波变换以产生正确的空间磁共振信号分布。