Curvelet sparse regularization for differential phase-contrast X-ray imaging
Document type:
Konferenzbeitrag
Author(s):
Wieczorek, M.; Frikel, J.; Vogel, J.; Pfeiffer, F.; Demaret, L.; Lasser, T.
Abstract:
Differential phase contrast imaging (DPCI) enables the visualization of soft tissue contrast using X-rays. In this work we introduce a reconstruction framework based on curvelet expansion and sparse regularization for DPCI. We will show that curvelets provide a suitable data representation for DPCI reconstruction that allows preservation of edges as well as an exact analytic representation of the system matrix. As a first evaluation, we show results using simulated phantom data.