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• W4312157416 endingPage "119827" @default.
• W4312157416 startingPage "119827" @default.
• W4312157416 abstract "Three-dimensional (3D) encoding methods are increasingly being explored as alternatives to two-dimensional (2D) multi-slice acquisitions in fMRI, particularly in cases where high isotropic resolution is needed. 3D multi-shot EPI acquisition, as the workhorse of 3D fMRI imaging, is susceptible to physiological fluctuations which can induce inter-shot phase variations, and thus reducing the achievable tSNR, negating some of the benefit of 3D encoding. This issue can be particularly problematic at ultra-high fields like 7T, which have more severe off-resonance effects. In this work, we aim to improve the temporal stability of 3D multi-shot EPI at 7T by improving its robustness to inter-shot phase variations. We presented a 3D segmented CAIPI sampling trajectory (seg-CAIPI) and an improved reconstruction method based on Hankel structured low-rank matrix recovery. Simulation and in-vivo results demonstrate that the combination of the seg-CAIPI sampling scheme and the proposed structured low-rank reconstruction is a promising way to effectively reduce the unwanted temporal variance induced by inter-shot physiological fluctuations, and thus improve the robustness of 3D multi-shot EPI for fMRI." @default.
• W4312157416 created "2023-01-04" @default.
• W4312157416 creator A5008171524 @default.
• W4312157416 creator A5010216471 @default.
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• W4312157416 date "2023-02-01" @default.
• W4312157416 modified "2023-09-26" @default.
• W4312157416 title "Improving robustness of 3D multi-shot EPI by structured low-rank reconstruction of segmented CAIPI sampling for fMRI at 7T" @default.
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• W4312157416 doi "https://doi.org/10.1016/j.neuroimage.2022.119827" @default.
• W4312157416 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36572131" @default.
• W4312157416 hasPublicationYear "2023" @default.
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