DRF-GRAPPA: A Parallel MRI Method with a Direct Reconstruction Filter

A novel multi-channel image reconstruction algorithm for parallel MRI is proposed to reconstruct a complex-valued image with both magnitude and phase information in a reduced computation time, so called the DRF-GRAPPA. The DRF-GRAPPA combines multichannel images by separately obtaining magnitude inf...

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Bibliographic Details
Published in:Journal of the Korean Physical Society 2018, 73(1), , pp.130-137
Main Authors: Kim, Dongchan, Jung, Sungwon, Park, HyunWook
Format: Article
Language:English
Subjects:
Computer simulation
Defense industry
Image filters
Image reconstruction
Magnetic resonance imaging
Mathematical and Computational Physics
Particle and Nuclear Physics
Physics
Physics and Astronomy
Railroad accidents & safety
Theoretical
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Summary:A novel multi-channel image reconstruction algorithm for parallel MRI is proposed to reconstruct a complex-valued image with both magnitude and phase information in a reduced computation time, so called the DRF-GRAPPA. The DRF-GRAPPA combines multichannel images by separately obtaining magnitude information and phase information. The method is applied to parallel MRI to reconstruct an image from under-sampled k -space data by using a direct reconstruction filter that can simultaneously estimate full k -space signals and combine multi-channel images. To obtain both magnitude and phase information, the DRF-GRAPPA provides two different direct reconstruction filters. The accuracy of the magnitude and phase information is validated through simulations. In addition, the experiment results of spherical water phantom imaging and in-vivo imaging demonstrate that the DRF-GRAPPA can successfully reconstruct images with both magnitude and phase information within a reduced reconstruction time.
ISSN:0374-4884
1976-8524
DOI:10.3938/jkps.73.130