Off-resonance artifact correction for magnetic resonance imaging: a review
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Abstract (arXiv)
In magnetic resonance imaging (MRI), inhomogeneity in the main magnetic field used for imaging, referred to as off-resonance, can lead to image artifacts ranging from mild to severe depending on the application. Off-resonance artifacts, such as signal loss, geometric distortions, and blurring, can compromise the clinical and scientific utility of MR images. In this review, we describe sources of off-resonance in MRI, how off-resonance affects images, and strategies to prevent and correct for off-resonance. Given recent advances and the great potential of low field and/or portable MRI, we also highlight the advantages and challenges of imaging at low field with respect to off-resonance.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 May 2022.
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Citing papers per year: 2024: 3; 2025: 1.
4 papers.
- 2024GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learningcited by 1
- 2024Artificial Intelligence for Neuro MRI Acquisition: A Reviewcited by 1
- 2025Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRIcited by 1
- 2024Real-time cardiac cine MRI -- A comparison of a diffusion probabilistic model with alternative state-of-the-art image reconstruction techniques for undersampled spiral acquisitionscited by 0
- 2025Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI1 May 2025
- 2024Real-time cardiac cine MRI -- A comparison of a diffusion probabilistic model with alternative state-of-the-art image reconstruction techniques for undersampled spiral acquisitions7 Oct 2024
- 2024Artificial Intelligence for Neuro MRI Acquisition: A Review10 Jun 2024
- 2024GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning29 Feb 2024