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Abstract #4865

Design of Temporally Constrained Compressed Sensing Methods for Accelerated Dynamic MRI

Julia V. Velikina1, Kevin M. Johnson1, Walter F. Block1, Alexey A. Samsonov1

1University of Wisconsin - Madison, Madison, WI, United States

We present a novel temporally constrained method for reconstruction of dynamic MRI images from undersampled data using second temporal difference. The proposed method is compared to the previously described temporal compressed sensing approaches, including k-t FOCUSS. Performance comparison is done in a series of experiments in digital phantoms and in vivo human volunteer data for phase contrast and contrast-enhanced imaging. The proposed method provided higher accuracy of flow waveform estimations for acceleration factors 8-13.