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Journal of Scientific Computing

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04-06-2016

A Two-Stage Low Rank Approach for Calibrationless Dynamic Parallel Magnetic Resonance Image Reconstruction

Authors: Likun Hou, Hao Gao, Xiaoqun Zhang

Published in: Journal of Scientific Computing | Issue 3/2016

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Abstract

Parallel magnetic resonance imaging (MRI) is an imaging technique by acquiring a reduced amount of data in Fourier domain with multiple receiver coils. To recover the underlying imaging object, one often needs the explicit knowledge of coil sensitivity maps, or some additional fully acquired data blocks called the auto-calibration signals (ACS). In this paper, we show that by exploiting the between-frame redundancy of dynamic parallel MRI data, it is possible to achieve simultaneous coil sensitivity map estimation and image sequence reconstruction. Specially, we introduce a novel two-stage approach for dynamic parallel MRI reconstruction without pre-calibrating the coil sensitivity maps nor additionally acquiring any fully sampled ACS. Numerical experiments demonstrate that, the performance of the proposed approach is better than other state-of-the-art approaches for calibrationless dynamic parallel MRI reconstruction.

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Data source - http://challenge.ismrm.org/node/53

One might intuitively think that the the data frame with maximum number of samples in the auto-calibration region should be the best choice, but that is not true. For instance, in the second experiment of Sect. 5, the data frame with maximum number of samples in the auto-calibration region is frame 13, while exhaustive enumeration suggests frame 2 is the best choice, and the later one leads to significantly lower reconstruction error compared with the former one.

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Title: A Two-Stage Low Rank Approach for Calibrationless Dynamic Parallel Magnetic Resonance Image Reconstruction
Authors: Likun Hou
Hao Gao
Xiaoqun Zhang
Publication date: 04-06-2016
Publisher: Springer US
Published in: Journal of Scientific Computing / Issue 3/2016
Print ISSN: 0885-7474
Electronic ISSN: 1573-7691
DOI: https://doi.org/10.1007/s10915-016-0225-6

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