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Abstract #0693

Comparison of different compressed sensing algorithms for low SNR 19F application --- imaging of transplanted pancreatic islets with PFCE labeled

Sayuan Liang 1 , Yipeng Liu 2 , Tom Dresselaers 1 , Karim Louchami 3 , Sabine Van Huffel 2 , and Uwe Himmelreich 1

1 Department of Imaging & Pathology, KU Leuven, Leuven, Flemish Brabant, Belgium, 2 ESAT, KU Leuven, Leuven, Flemish Brabant, Belgium, 3 Laboratory of Experimental Hormonology, Universit Libre de Bruxelles, Brussels, Belgium

In this study, different compressed sensing algorithms were implemented and applied for low SNR 19F application: in particular imaging of transplanted pancreatic islets with PFCE labeled. We demonstrated that by using compressed sensing technique, the SNR/t could be improved by factor of 3-4. Among different algorithms, two-level method is considered the fastest one with relative good accuracy.

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