Compressed Sensing in Diffusion-Weighted Radial-FSE
نویسندگان
چکیده
Introduction Radial fast spin-echo (Radial-FSE) methods have been used to produce high-resolution diffusion-weighted images that are insensitive to motion and/or magnetic field inhomogeneity [1,2]. However, one of the drawbacks of radial-FSE is the long acquisition time, compared to single shot echo planar imaging, required for high resolution images with sufficient signal to noise ratio (SNR). Recently, Compressed Sensing (CS) theory [3,4] has been developed for MRI applications and has been demonstrated in MRI data acquired on radial trajectories [5-8]. The CS reconstruction of undersampled radial data has been shown to dramatically reduce streaking artifacts, compared to filtered backprojection or regridding reconstruction. In the present work, we have applied CS reconstruction to diffusion-weighted radial-FSE datasets to evaluate the utility of CS methods to enable faster acquisition of diffusion-weighted radial-FSE data.
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