On the effectiveness of doubly adaptive estimation for dynamic MRI sequence acquisitions

We present experimentally-acquired MR image sequence reconstruction results and a review of the recently proposed doubly adaptive temporal update method (DATUM) for the acquisition of dynamic MRI sequences. The DATUM algorithm is novel in providing an estimation and tracking framework for both image reconstruction and the image acquisition inputs. We discuss the difficulty in choosing viable system inputs adaptively and compare DATUM to other minimal data MRI acquisition techniques. New results of image estimates constructed from data acquired on a standard production MRI scanner show that adapting system inputs to the sequence provides substantial image quality improvement to dynamic sequence estimation.