  MRI images of the same subject in different contrasts contain shared
information, such as the anatomical structure. Utilizing the redundant
information amongst the contrasts to sub-sample and faithfully reconstruct
multi-contrast images could greatly accelerate the imaging speed, improve image
quality and shorten scanning protocols. We propose an algorithm that generates
the optimised sampling pattern and reconstruction scheme of one contrast (e.g.
T2-weighted image) when images with different contrast (e.g. T1-weighted image)
have been acquired. The proposed algorithm achieves increased PSNR and SSIM
with the resulting optimal sampling pattern compared to other acquisition
patterns and single contrast methods.
