Kriging and GRAPPA: A New Perspective on Parallel Imaging Reconstruction
Heberlein K, Hu X
Parallel MRI is widely used as a method for reduced acquisition. GRAPPA is a reconstruction method that recovers missing samples in the k-space directly using a weighted average estimation model. In the field of geostatistics, a common method for spatial estimation is termed kriging. This paper describes the application of kriging to the parallel imaging reconstruction problem. Furthermore, we show that GRAPPA is identical to kriging when considering Cartesian sampling.