Thomas Gaass1,
Guillaume Potdevin2, Grzegorz Bauman3, 4,
Peter Nol5, Axel Haase1
1Zentralinstitut
fr Medizintechnik, Technische Universitt Mnchen, Garching, Germany; 2Department
of Physics, Technische Universitt Mnchen, Garching, Germany; 3Department
of Medical Physics, German Cancer Research Center, Heidelberg, Germany; 4Department
of Medical Physics, University of Wisconsin, Madison, WI, United States; 5Department
of Diagnostic and Interventional Radiology, Technische Universitt Mnchen,
Munich, Germany
We introduce a novel reconstruction technique (RHiCA), based on the specific signature of incoherent undersampling artifacts in histogram space and relying on a minimization algorithm. Utilizing the histogram of a low resolution reference image we propose to correct the impaired image via its altered histogram. The performance of the Reference Histogram Constrained Artifact (RHiCA) reduction is successfully presented on a numerical phantom and a 3T head MRI. We successfully illustrate, that applying RHiCA leads to an effective suppression of undersampling artifacts in radial MRI acquisitions up to undersampling factors of 6.
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