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Abstract #2012

Application of Parallel Imaging and Compressed Sensing to Metabolic Imaging of the Brain Using H-1 MRSI at 7T and Using Hyperpolarized C-13 MRSI at 3T

Maryam Vareth1, 2, Yan Li1, Ilwoo Park1, Sarah Nelson1, 3

1Surbeck Laboratory of Advanced Imaging, Department of Radiology and Biomedical Imaging, Univ. of California, San Francisco, San Francisco, CA, United States; 2UCSF/UCBerkeley Joint Graduate Group in Bioengineering, Univ. of California, Berkeley, Berkeley, CA, United States; 3Department of Bioengineering and Therapeutic Sciences, Univ. of California, San Francisco, San Francisco, CA, United States

We developled and tested the feasibility of using parallel imaging (PI) and compressed sensing (CS) techniques to reconstruct phase-sensitive MRSI data for both hyperopoarzied 3T C-13 and 7T H-1 applications that require efficient and rapid k-space sampling. Self-calibrating techniques such as GRAPPA, SPIRiT were implemented for use in spectroscopy in addition to CS, to inintially investigate the most roubst and accurate estimation of fully sampled data. Results indicated that these methods effectively reconstructed the data.