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Abstract #2278

Neonatal MRI Acceleration Using Correlation Introduced by Across-Slice Data Sparsity

Yu Li1, Jean Tkach1, Suhas Kallapur1, Machiko Ikegami1, Alan Jobe1, Charles L. Dumoulin1

1Imaging Research Center, Radiology Department, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

The presented work addresses a clinical challenge to neonatal MRI on a small bore scanner within the Neonatal Intensive Care Unit (NICU): The parallel imaging acceleration is limited by the restricted spatial encoding capability of the small coil arrays sized to match the neonatal anatomy on the NICU scanner. In this work, we propose an approach to accelerating multi-slice 2D imaging using image-space correlation introduced by naturally existing MRI k-space data sparsity. The proposed approach is demonstrated in an extreme case: Neonatal MRI performed with a single-channel volume birdcage coil that is incapable of parallel imaging.

Keywords

accelerate accelerated accelerating acceleration acquisition actual anatomy arrays birdcage bore calibrating calibration capability care centimeter challenge channel clinical coil comparing compatible compressed conjugate considered considering convert correlation dashed defining definition demonstrating determined developed development difficulty direct directly domain dots effectively empty encoding environment equation equations error essential estimation every exam exists extreme filter final framework frequency full fully functions gain generated good gradient hospital human ideally implementation improvement incapable includes indicated integrate intensive introduced limited linear location manifests match matrix medical missing model modeled neighboring neonatal neonate neonates noise noted overcome parallel premature preserved previously procedure processing proposed proposes providing quality quantifies quantify radiology reconstructed reconstruction reduction represent represents resolution restricted root sampled sampling scanner scheme sedated sensing sensitivity shape sheep short since slice slices solid solution sons space sparse sparsity spatial speed spin spine square squared sufficient summed suppressing theory together trajectory transform translation uniform uniformly unit utilizing virtual virtually