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Abstract #3633

Random Delayed Spirals for Compressive Sensing cine MRI

Giuseppe Valvano 1,2 , Nicola Martini 2 , Dante Chiappino 2 , Luigi Landini 1,2 , and Maria Filomena Santarelli 2,3

1 Department of Information Engineering, University of Pisa, Pisa, PI, Italy, 2 Fondazione G. Monasterio CNR-Regione Toscana, Massa, MS, Italy, 3 Institute of Clinical Physiology, CNR, Pisa, PI, Italy

A new sampling strategy for Compressive Sensing cardiac cine MRI based on variable density spirals is presented. The low coherence needed for a good reconstruction in Compressive Sensing was achieved delaying the gradient waveforms starting from random positions. To further reduce the coherence we rotated with random angles each spiral. The proposed strategy was validate by means of off-line reconstruction of a cardiac cine dataset. With this approach we were able to reconstruct the dataset with good image quality up to a 5-fold acceleration.

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