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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