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Abstract #1251

Dynamic Estimation of Respiration-Induced B0 Inhomogeneities in OSSI fMRI: A Novel Framework Using FIDNavs and SENSE Maps

Mariama Salifu1 and Douglas C Noll1
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: Artifacts, System Imperfections: Measurement & Correction, Artifacts, Physiological noise correction, FID navigators, fMRI

Motivation: In OSSI fMRI, temporal fluctuations in the B0 field, predominantly resulting from respiration, can induce changes to the steady state, subsequently diminishing the temporal signal-to-noise ratio (tSNR)

Goal(s): Our objective is to develop an efficient technique for estimating respiration-induced B0 variations in OSSI fMRI

Approach: We have used Free Induction Decay (FID) frequency offset to estimate the first-order field inhomogeneities. A novel element in our approach lies in adopting a spatial encoding strategy for these FIDs, drawing on the geometric centroids of each coil's sensitivity profile

Results: Our initial findings indicates comparable results between our FIDNavs method and image-based field map method.

Impact: This approach allows for a rapid measurement of B0 variations, thus facilitating faster real-time corrections. This method bypasses the lengthy process of calibration or the need for reference images.

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Keywords