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Abstract #4458

Development of Parallel Correlated Spectroscopic Imaging

Gaurav Verma1, 2

1Radiology, University of Pennsylvania, Philadelphia, PA, United States; 2Radiological Sciences, University of California, Los Angeles, CA, United States

A spectroscopic imaging technique was developed combining Sensitivity Encoding (SENSE) with Multi-Echo Correlated Spectroscopic Imaging (ME-COSI). In this initial application, parallel imaging acquisition was used to double the number of spatial points from 8x8 to 8x16 with a corresponding doubling of the effective Field-of-View (FOV). Testing in brain phantom demonstrated the presence of several expected diagonal and cross peak resonances throughout the excited volume including regions subject to residual folding artifacts. The sequence could be developed further, including accelerating acquisition by applying SENSE to both spatial dimensions. This sequence represents the first application of parallel imaging to correlated spectroscopic imaging.

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Keywords

accelerating acquiring acquisition acquisitions affected aliasing allows anterior application apply applying array arrays bandwidth beyond blue body bottom brain central channel coil coils complex conventionally correlated creating cross crude decrease described despite development dimension dimensions doubled doubling effectively encoded encoding evident extrapolating facilitated facilitates field folding generalized generate glutamate halving head identical implementation improved improvements initial intensity intentionally introduced known lactate like long maps materials matrix metabolite minutes modified noise nominal original originally outlined outside paper parallel partially peak peaks peripheral phantom plotted post posterior potential processing profile program quality radiological radiology receive recently reconstructed reconstruction reduce represent required residual resolution resolvable respectively sciences sense sensitivity several slice slow space spatial spatially spectra spectroscopic step strategies successful suggests thereby thresholding unfold unfolding view visible