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Abstract #3246

Shearlet-based susceptibility map reconstruction with iterative reweighting and nonlinear data fitting

Janis Stiegeler1,2 and Sina Straub1
1German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany

The QSM algorithms tested in the 2016 Reconstruction Challenge showed oversmoothing effects and a notable loss of details. A multicale shearlet system was used to reconstruct the susceptibility map. Iterative reweighting of the coefficients led to a sparse image in the shearlet space. The result shows that shearlets are useful to obtain quantitative susceptibility maps which are rich in detail and simultaneously can achieve a top ten result in the ranking of the 2016 Reconstruction Challenge.

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