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; 3Division of Medical Physics in Radiology, 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 using a composite image histogram as constraint (CHiCA) in a non-linear reconstruction framework for the suppression of aliasing artifacts in sub-Nyquist-sampled MRI. The performance of CHiCA is successfully presented on a numerical simulation of a DCE MRI measurement and a simulated radial in vivo dynamic cardiac MR. Data acquisition was implemented as interleaved radial sampling with sliding window reconstruction to generate the composite image. The reconstruction of undersampled data by constraining the images histogram offers the possibility to significantly reduce measurement time, while effectively suppressing aliasing artifacts.