Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/884
Title: Multi-coil magnetic resonance imaging reconstruction with a Markov random field prior
Authors: Panić, Marko 
Aelterman, Jan
Crnojević, Vladimir 
Pižurica, Aleksandra
Issue Date: Mar-2019
Journal: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Abstract: © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. Recent improvements in magnetic resonance image (MRI) reconstruction from partial data have been reported using spatial context modelling with Markov random field (MRF) priors. However, these algorithms have been developed only for magnitude images from single-coil measurements. In practice, most of the MRI images today are acquired using multi-coil data. In this paper, we extend our recent approach for MRI reconstruction with MRF priors to deal with multi-coil data i.e., to be applicable in parallel MRI (pMRI) settings. Instead of reconstructing images from different coils independently and subsequently combining them into the final image, we recover MRI image by processing jointly the undersampled measurements from all coils together with their estimated sensitivity maps. The proposed method incorporates a Bayesian formulation of the spatial context into the reconstruction problem. To solve the resulting problem, we derive an efficient algorithm based on the alternating direction method of multipliers (ADMM). Experimental results demonstrate the effectiveness of the proposed approach in comparison to some well-adopted methods for accelerated pMRI reconstruction from undersampled data.
URI: https://open.uns.ac.rs/handle/123456789/884
ISSN: 1605-7422
DOI: 10.1117/12.2512104
Appears in Collections:IBS Publikacije/Publications

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