Density optimized low-discrepancy k-space trajectories for accelerated in-vivo 2D single-point imaging and chemical-shift imaging

Motivation: To accelerate single-point imaging sequences, limited by extended acquisition times, sampling was transitioned from Cartesian grids to sophisticated quasi-random schemes, based on Sobol and Poisson-disc sequences. Goal(s): Evaluation of less coherent artifact behavior of optimized trajectories in-vivo and for CSI. Approach: A custom optimization algorithm was developed to minimize the side-lobe/peak ratio of point spread functions through selective point redistribution and center oversampling. Results: Optimized trajectories were tested on a clinical MRI scanner, demonstrating successful application in in-vivo and chemical shift imaging, improving imaging efficiency and artifact reduction. Impact: Optimized single-point imaging sampling trajectories, leveraging quasi-random Sobol sequences and center oversampling, achieved faster acquisition and less coherent artifacts, enhancing in-vivo MRI and chemical shift imaging efficiency. This method shows strong potential for advancing 13-C imaging with hyperpolarized signals.