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.
Title:: Curvelet sparse regularization for differential phase-contrast X-ray imaging
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.
Keywords:: CAMP,MedicalImaging,Reconstruction,FULLY3D,Computed Tomography
Book / Congress title:: Proc. Int'l Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D)
Year:: 2013
Language:: american
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