Meeting Banner
Abstract #4250

Comparing K-T SENSE and Auto-Calibrating K-T SENSE Transfer Functions

Irene Paola Ponce Garcia1, Martin Blaimer2, Felix Breuer2, Peter M. Jakob1, 2, Peter Kellman3

1Department of Experimental Physics 5, University of Wrzburg, Wrzburg, Bavaria, Germany; 2Research Center Magnetic Resonance Bavaria (MRB), Wrzburg, Bavaria, Germany; 3Laboratory of Cardiac Energetics, National Institutes of Health, National Heart, Lung and Blood, Bethesda, MD, United States

In Dynamic Parallel Magnetic Resonance Imaging (pMRI) there are many reconstruction methods aiming to speed up acquisition and accurate reconstructions with high temporal and spatial resolution. It has been demonstrated that comparing to conventional k-t SENSE approach, Auto-Calibrating k-t SENSE saves acquisition time. Even though Auto-Calibrating k-t SENSE has been compared to conventional k-t SENSE, the comparison of the filter performing by both of them has not been jet evaluated. In this work, the performance in the temporal frequency of conventional and Auto-Calibrating k-t SENSE was evaluated using the 2-D Modulated Transfer Function (MTF).