Compressed sensing technologies have recently become commercially available that serve the purpose to shorten the image acquisition time for morphological imaging. Here we explore the reconstruction algorithm that allows the combination of wavelet transformation of compressed sensing with coil information of sensitivity encoding (SENSE) in body diffusion MRI based on 2D single-shot EPI and uniform undersampling, and report our results in both healthy volunteers and patients on both 3T and 1.5T, in comparison to the conventional SENSE parallel imaging technique.
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