Dynamic Imaging Motion Artifact Reduction Using Adaptive K-Space Polynomial Interpolation

Travis B. Smith¹, Krishna S. Nayak¹

Any object movement during or between MRI acquisition readouts leads to data inconsistency artifacts in the images. The manifestation of these artifacts depends on the k-space sampling trajectory. For example, in echo-planar imaging they appear as ghosting artifacts, and in spiral imaging they manifest as swirling artifacts. Dynamic imaging, which attempts to capture body or physiological motion through continuous acquisitions, is vulnerable to these artifacts. In this work, we present an adaptive polynomial interpolation algorithm to reduce these artifacts without introducing significant motion blurring. In-vivo results are presented to compare the algorithm with other motion artifact reduction techniques.