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1

Dipartimento per le Tecnologie, Università degli Studi di Napoli Parthenope, Naples, Italy

2

Institut TELECOM, TELECOM ParisTech, CNRS LTCI, Paris, France





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Abstract Field inhomogeneities in Magnetic Resonance Imaging MRI can cause blur or image distortion as they produce off-resonance frequency at each voxel. These effects can be corrected if an accurate field map is available. Field maps can be estimated starting from the phase of multiple complex MRI data sets. In this paper we present a technique based on statistical estimation in order to reconstruct a field map exploiting two or more scans. The proposed approach implements a Bayesian estimator in conjunction with the Graph Cuts optimization method. The effectiveness of the method has been proven on simulated and real data. View Full-Text

Keywords: Magnetic Resonance Imaging; field map estimation; phase unwrapping; bayesian estimation; graph-cuts; Markov Random Field Magnetic Resonance Imaging; field map estimation; phase unwrapping; bayesian estimation; graph-cuts; Markov Random Field





Autor: Fabio Baselice 1,* , Giampaolo Ferraioli 1 and Aymen Shabou 2

Fuente: http://mdpi.com/



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