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Abstract #2664

Matching Pursuit Iterative Dipole Based Filter of Background Fields in Phase Imaging

Jos P. Marques1,2, Yves Wiaux3,4, Rolf Gruetter1,5

1Laboratory for Functional & Metabolic Imaging, Ecole Polytechnique Fdrale de Lausanne, Lausanne, Vaud, Switzerland; 2Department of Radiology, University of Lausanne, Lausanne, Vaud, Switzerland; 3Signal Processing Laboratory 5, Ecole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland; 4Medical Image Processing Laboratory, University of Geneva, Geneva, Switzerland; 5Department of Radiology, University of Lausanne and Geneva, Switzerland

In this abstract a fast iterative method to filter the large background phase shifts of susceptibility origin in phase imaging is presented. The algorithm is based on the matching pursuit iterative methodology to solve the ill posed inverse problem of finding a susceptibility distribution outside that can explain the field inside the region of interest. The algorithm is demonstrated both in synthetic and in vivo brain data acquired at 7T.