Meeting Banner
Abstract #0602

Reference Histogram Constrained Artifact Suppression (RHiCA) for Incoherently Undersampled Magnetic Resonance Imaging

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.

Keywords

accelerating according achieved acquisition acquisitions adapting added aiming aliasing allows almost amount apparent application approaches around artifact artifacts assessed axis blade cancer capillaries compensate completely constrained correct correcting correction corresponds crossing decrease denotes density described detail diagnostic display distribution dynamic ellipse elliptic entries error fidelity filtered full fully generate head healthy histogram holds human illustrate illustrates in vivo included incoherent incoherently increasing intensity iteration leads linear long loss maintaining managed matrix measured medical minimization missing modern namely nature need noise numerical numerous objects optimization orientation original overlapping peak peaks perceptual performance peter phantom physics pixels problem prominent quality radial radially radiology reconstruct reconstructed reconstructing reconstruction reduce reduced reduces reduction redundancies regularization relying removed reported resolution sampled sampling save sections sector sensing separated serves several sign signature significantly simulation slice space spatial spokes static step streaking strong structures subsequently subset successfully suppress suppression target task term theorem theory trans transversal unavoidable utilizing violating zero