Abstract #2363

Prior Knowledge Fitting (ProFit) of Non-uniformly Sampled 5D Echo Planar Spectroscopic Imaging Data : Effect of Acceleration on Concentrations and Cramer Rao Lower Bounds

Zohaib Iqbal¹ and M. Albert Thomas¹

¹Radiological Sciences, University of California - Los Angeles, Los Angeles, CA, United States

The five dimensional echo planar spectroscopic imaging (5D EP-JRESI) sequence uses an echo planar readout, non-uniform sampling (NUS), and compressed sensing reconstruction to obtain two dimensional spectra from three spatial dimensions. However, the effects of NUS and reconstruction on quantitation results and fit quality parameters, such as the Cramer Rao Lower Bound (CRLB), are unknown. This study uses the new Prior knowledge Fitting (ProFit) algorithm to fit the 5D EP-JRESI results acquired using retrospective as well as prospective NUS. Comparison to the full data demonstrates that the 5D EP-JRESI method can sample 8-times faster while retaining accurate metabolite ratios and CRLB values.

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