An advanced reconstruction method, which employs a neural network trained on high resolution data to conduct interpolation, combined with iterative denoising, was applied in contrast-enhanced liver imaging in patients receiving a hepatocyte-specific contrast agent. The advanced reconstruction provides improved image quality, with better contrast-to-noise ratio, vessel edge sharpness, and lesion edge sharpness compared with the standard reconstruction using zero-filling interpolation without advanced reconstruction. The improvement in image quality was also observed in faster acquisitions (lower phase resolution), thus enabling shorter breath-hold acquisitions.
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