Lei Hou Hamilton1, Javier Acebrn Fabregat2, David Moratal2, Senthil Ramamurthy3, Sebastian Kozerke4, Marijn E. Brummer5
1School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA; 2Universidad Politcnica de Valencia, Valencia, Spain; 3Childrens Healthcare of Atlanta, Atlanta, GA, USA; 4University and ETH Zurich, Zurich, Switzerland; 5School of Medicine, Emory University, Atlanta, GA, USA
In this study we compare the performance of three MRI fast imaging methods, TSENSE, k-t SENSE and PINOT on real cardiac cine images. These methods combine parallel imaging with UNFOLD, k-t BLAST and Noquist, respectively. These methods have been implemented under similar net reduction factors. A direct comparison of reconstructed images and an analysis of noise levels show that TSENSE and k-t SENSE have better SNR but tend to blur edges, while PINOT, with no filtering or interpolation, favorably preserves edge detail at a cost of decreased SNR.