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.