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Abstract #0890

Towards Accelerating 3D 1H-MRSI Using Randomly Undersampled Spatial and Spectral Spirals with Low-rank Subspaces

Yamin Arefeen1, Borjan Gagoski2,3, and Elfar Adalsteinsson1,4,5
1Massachusetts Institute of Technology, Cambridge, MA, United States, 2Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Harvard-MIT Health Sciences and Technology, Cambridge, MA, United States, 5Institute for Medical Engineering and Science, Cambridge, MA, United States

1H Magnetic Resonance Spectroscopic Imaging (MRSI) suffers from low signal-to-noise ratio (SNR) and long acquisition times. Time-varying gradient trajectories reduce acquisition time by more efficiently sampling the k-space data. Meanwhile, a subspace approach to high-resolution MRSI (SPICE) elegantly enables high resolution MRSI despite low SNR. To accelerate 3D MRSI, we propose a randomly undersampled, time-varying, 3D-trajectory that synergizes with the SPICE-subspace framework by inducing incoherent aliasing across all four imaging dimensions. This enables ~3x acceleration in analytic experiments and ~2x acceleration in retrospectively undersampled phantom experiments with minimal degradation in image quality in comparison to fully sampled 3D-spiral MRSI.

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