Zhang Yi, Heo Hye-Young, Lee Dong-Hoon, Bottomley Paul, Zhou Jinyuan
Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, MD, United States.
F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States.
Proc Int Soc Magn Reson Med Sci Meet Exhib Int Soc Magn Reson Med Sci Meet Exhib. 2016 May;24:1522.
CEST imaging has numerous applications, but its widespread clinical use is hampered by relatively long acquisition times. Here, a novel variably-accelerated sensitivity encoding (vSENSE) method is proposed that provides faster CEST acquisitions than conventional SENSE. The vSENSE approach undersamples k-space variably for images acquired at different saturation frequencies to maximize acquisition speed. vSENSE was validated in a phantom and in 8 patients with brain tumors studied at 3T. The vSENSE method provided a 4-fold acceleration, compared to conventional SENSE which permitted only a 2-fold acceleration, with both compared to a full k-space reconstruction.
化学交换饱和转移（CEST）成像有众多应用，但相对较长的采集时间阻碍了其在临床上的广泛应用。在此，我们提出了一种新型可变加速灵敏度编码（vSENSE）方法，该方法能比传统灵敏度编码（SENSE）更快地进行CEST采集。vSENSE方法针对在不同饱和频率下采集的图像对k空间进行可变欠采样，以最大限度提高采集速度。vSENSE在体模以及8例3T场强下研究的脑肿瘤患者中得到了验证。与传统SENSE相比，vSENSE方法实现了4倍加速，而传统SENSE仅能实现2倍加速，二者均与全k空间重建进行了比较。
