Meeting Banner
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.

Keywords

accelerate acceleration acquisition activity adjusted advanced advantage allow allowed application applications applied appropriate array arrays attractive better beyond bioengineering biomedical blue body brain calibrating calibration channel channels chemical chess coil combination components compressed consider constraint coverage datasets decay decrease decreasing described determine develop developed discovery enforce enzymatic even example excitation experimental experimentally facilitate form full fully generalized generated hence human hydrate implemented improved improving increasing individual initial kernel larger lateral lesions localized maps metabolic minutes monitoring nelson noise numerical outer overlaid parallel park patient patients patterns performance phantom phantoms planar previously primate processed produce promising providing radiology rapid rapidly receive reconstruct reconstructed reconstruction reconstructions recovering reduce represent requiring resolution robust sampled sampling scanner selection self sensing sensitive sensitivities sensitivity setup shorter simulated simulation space spatial species spectra spectroscopy spirit strategies strategy studied studies subject successful suggests summarize suppression systems table technologies therapeutic transmit tumor tumors univ unrecoverable volume volumetric year zero