Field-Correcting GRAPPA (FCG) for improved mitigation of even-odd and field-related artifacts in EPI

作者：Nan Wang, Daniel P. Abraham, Adam B. Kerr, Hua Wu, Congyu Liao, Xiaozhi Cao, Jon̈athan R. Polimeni, Renzo Huber, Kawin Setsompop · 发表于：Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 年份：2024 · DOI：10.58530/2024/1256 · 被引用次数：2 · 研究领域：Electron and X-Ray Spectroscopy Techniques、Integrated Circuits and Semiconductor Failure Analysis、Non-Destructive Testing Techniques

Motivation: Field perturbation from gradient error and eddy current has been a long-standing issue for EPI, especially with high gradient performance or ramp samplingGoal(s): To develop a MLP based Field-Correcting GRAPPA (FCG) that accounts for spatial-varying field and produces artifacts-mitigated imagesApproach: Calibration data with dual polarity were acquired. A MLP based kernel was trained to take single-polarity data as input and output the clean averaged data. It was applied for both phantom and in vivo undersampled EPI with ramp-sampling. Results: FCG produced best correction results for ramp-sampling EPI, with potentials for wide applications including fMRI. Impact: A Field-Correcting GRAPPA (FCG) technique was developed to correct the field perturbation induced image artifacts for EPI, which accounts for spatial varying field and produced promising resulting on ramp-sampling cases, with great potentials for wide applications including fMRI.