mlsanityData to 7 Oct 2026

GRAPPA-GANs for Parallel MRI Reconstruction

arXiv 2101.03135 ↗First posted 5 Jan 2021eess.IV cs.CV cs.LGcited by 2

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Abstract (arXiv)

k-space undersampling is a standard technique to accelerate MR image acquisitions. Reconstruction techniques including GeneRalized Autocalibrating Partial Parallel Acquisition(GRAPPA) and its variants are utilized extensively in clinical and research settings. A reconstruction model combining GRAPPA with a conditional generative adversarial network (GAN) was developed and tested on multi-coil human brain images from the fastMRI dataset. For various acceleration rates, GAN and GRAPPA reconstructions were compared in terms of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). For an acceleration rate of R=4, PSNR improved from 33.88 using regularized GRAPPA to 37.65 using GAN. GAN consistently outperformed GRAPPA for various acceleration rates.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 14 of its 31 references that are in the map. First posted on arXiv 5 Jan 2021.

Builds on

14 of 31 references.

References · 14

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2 more
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Cited by year

Citing papers per year: 2021: 2.

2 papers.

  1. 2021An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivitiescited by 10
  2. 2021Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Informationcited by 6