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Abstract #4558

Comparison of TSENSE, K-T SENSE and PINOT Fast Imaging Methods on Cine MRI

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.