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
Department of Information Engineering,
University of Pisa, Pisa, PI, Italy,
G. Monasterio CNR-Regione Toscana, Massa, MS, Italy,
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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