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Abstract #3771

Dynamic Model-based Reconstruction for Oscillating Steady State fMRI

Amos A. Cao1, Shouchang Guo1, and Doug C. Noll1

1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States

We introduce Oscillating Steady State (OSS) fMRI, a method that uses quadratic phase cycling and balanced gradients to create an oscillating T2* sensitive signal. We also present a model-based reconstruction that converts these signal oscillations into B0 estimates, enabling correction for respiratory or scanner induced signal changes. OSS fMRI enables the SNR benefits of bSSFP-based methods, while adding T2* sensitivity and B0 encoding into a unique oscillating signal.

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