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Abstract #2807

Multivariate pattern analysis of multi-band MRI k-space

Scott J Peltier1,2, Krisanne Litinas1, Anne Gu2, Jonathan Lisinski3, and Stephen LaConte3

1Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Carillon Research Institute, Virginia Tech, Roanoke, VA, United States

Multi-band MRI allows for accelerated MR acquisition. However, the reconstruction algorithms, being more complex, require increased reconstruction time without advanced hardware. In this work, we extend classification of MR k-space data to multi-band imaging, enabling rapid prediction of brain state without the need for image reconstruction. We also demonstrate that high prediction accuracy can be achieved even with reduced k-space coverage.

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