Keywords: Data Acquisition, Diffusion/other diffusion imaging techniques, Reduced FOV, Compressed SENSEDWI is very important for MRI examination, but it has limited resolution due to distortion, blurring, and signal loss caused by B0 inhomogeneity. Reduced FOV imaging could decrease these impacts. However, due to the coil geometry penalty, it’s hard to combine it with parallel imaging to further improve the image quality, it will suffer from noise breakthrough issues and unfolding artifacts. We propose a framework that combines reduced FOV imaging, Compressed SENSE framework simultaneously to overcome these issues. This framework allows a new solution for reduced FOV based diffusion imaging with high resolution, low distortion, and without noise breakthrough issue.
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