The effect of variable compressed sense (CS) undersampling patterns in hyperpolarized Xenon (129Xe) diffusion-weighted MRI

Compressed sensing is a fast-imaging technique capable of making high quality images with undersampled data. However, its application in hyperpolarized 129Xe diffusion-weighted MRI needs to be optimized. In this study, diffusion weighted images undersampled identically and differently, were compared with SNR, SSIM, mean ADC using repeated measures ANOVA. The application of different undersampling patterns for both diffusion-weighted and baseline images can result in ADC maps with higher quality, as compared to fully sampled equivalent parametric images. Thus, the baseline and diffusion-weighted images do not necessarily have the same optimum undersampling pattern, and optimization of each needs investigation separately.